diff --git a/.gitignore b/.gitignore
index 766b259382966985d13c1207ef78f24e67d90ff6..e03564eed595c3dc92ccba95fe43ee9d84a75b1c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,9 @@
-/output
+# General paths
 **/__pycache__
 /.idea
 /.vscode
+/.venv
 
-/algorithms
+# Code specific paths
+/paradise/algorithms
+/output
diff --git a/env.yml b/env.yml
deleted file mode 100644
index da753f79487d9951775ea8fc602abb646d474b2d..0000000000000000000000000000000000000000
--- a/env.yml
+++ /dev/null
@@ -1,74 +0,0 @@
-name: tsg
-channels:
-  - defaults
-dependencies:
-  - _libgcc_mutex=0.1=main
-  - _openmp_mutex=5.1=1_gnu
-  - ca-certificates=2024.7.2=h06a4308_0
-  - ld_impl_linux-64=2.38=h1181459_1
-  - libffi=3.4.4=h6a678d5_1
-  - libgcc-ng=11.2.0=h1234567_1
-  - libgomp=11.2.0=h1234567_1
-  - libstdcxx-ng=11.2.0=h1234567_1
-  - ncurses=6.4=h6a678d5_0
-  - openssl=3.0.14=h5eee18b_0
-  - pip=24.2=py38h06a4308_0
-  - python=3.8.19=h955ad1f_0
-  - readline=8.2=h5eee18b_0
-  - setuptools=72.1.0=py38h06a4308_0
-  - sqlite=3.45.3=h5eee18b_0
-  - tk=8.6.14=h39e8969_0
-  - wheel=0.43.0=py38h06a4308_0
-  - xz=5.4.6=h5eee18b_1
-  - zlib=1.2.13=h5eee18b_1
-  - pip:
-      - contourpy==1.1.1
-      - cycler==0.12.1
-      - dcor==0.6
-      - filelock==3.13.1
-      - fonttools==4.53.1
-      - fsspec==2024.2.0
-      - importlib-metadata==8.4.0
-      - importlib-resources==6.4.4
-      - jinja2==3.1.3
-      - joblib==1.4.2
-      - kiwisolver==1.4.7
-      - llvmlite==0.41.1
-      - markupsafe==2.1.5
-      - matplotlib==3.7.5
-      - mpmath==1.3.0
-      - networkx==3.0
-      - numba==0.58.1
-      - numpy==1.24.4
-      - nvidia-cublas-cu11==11.11.3.6
-      - nvidia-cuda-cupti-cu11==11.8.87
-      - nvidia-cuda-nvrtc-cu11==11.8.89
-      - nvidia-cuda-runtime-cu11==11.8.89
-      - nvidia-cudnn-cu11==9.1.0.70
-      - nvidia-cufft-cu11==10.9.0.58
-      - nvidia-curand-cu11==10.3.0.86
-      - nvidia-cusolver-cu11==11.4.1.48
-      - nvidia-cusparse-cu11==11.7.5.86
-      - nvidia-nccl-cu11==2.20.5
-      - nvidia-nvtx-cu11==11.8.86
-      - packaging==24.1
-      - pandas==2.0.3
-      - pillow==10.4.0
-      - pyparsing==3.1.4
-      - python-dateutil==2.9.0.post0
-      - pytz==2024.1
-      - scikit-learn==1.3.2
-      - scipy==1.10.1
-      - seaborn==0.13.2
-      - six==1.16.0
-      - sympy==1.12
-      - threadpoolctl==3.5.0
-      - torch==2.4.1+cu118
-      - torchaudio==2.4.1+cu118
-      - torchvision==0.19.1+cu118
-      - tqdm==4.66.5
-      - triton==3.0.0
-      - typing-extensions==4.9.0
-      - tzdata==2024.1
-      - xicorrelation==0.3.0
-      - zipp==3.20.1
diff --git a/algorithm_params.json b/paradise/algorithm_params.json
similarity index 100%
rename from algorithm_params.json
rename to paradise/algorithm_params.json
diff --git a/config/gc-d_10-l_20000-c_0.json b/paradise/config/gc-d_10-l_20000-c_0.json
similarity index 100%
rename from config/gc-d_10-l_20000-c_0.json
rename to paradise/config/gc-d_10-l_20000-c_0.json
diff --git a/config/gc-d_10-l_20000-c_1.json b/paradise/config/gc-d_10-l_20000-c_1.json
similarity index 100%
rename from config/gc-d_10-l_20000-c_1.json
rename to paradise/config/gc-d_10-l_20000-c_1.json
diff --git a/config/gc-d_10-l_20000-c_10.json b/paradise/config/gc-d_10-l_20000-c_10.json
similarity index 100%
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rename to paradise/config/gc-d_10-l_20000-c_10.json
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similarity index 100%
rename from config/gc-d_10-l_20000-c_5.json
rename to paradise/config/gc-d_10-l_20000-c_5.json
diff --git a/config/gc-d_15-l_20000-c_0.json b/paradise/config/gc-d_15-l_20000-c_0.json
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similarity index 100%
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rename to paradise/config/gc-d_15-l_20000-c_1.json
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diff --git a/config/gc-d_25-l_20000-c_0.json b/paradise/config/gc-d_25-l_20000-c_0.json
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diff --git a/config/old/20d6-vf_3.json b/paradise/config/old/20d6-vf_3.json
similarity index 100%
rename from config/old/20d6-vf_3.json
rename to paradise/config/old/20d6-vf_3.json
diff --git a/config/old/20d6-vf_4.json b/paradise/config/old/20d6-vf_4.json
similarity index 100%
rename from config/old/20d6-vf_4.json
rename to paradise/config/old/20d6-vf_4.json
diff --git a/config/old/20d6-vf_5.json b/paradise/config/old/20d6-vf_5.json
similarity index 100%
rename from config/old/20d6-vf_5.json
rename to paradise/config/old/20d6-vf_5.json
diff --git a/config/old/20d6-vf_6.json b/paradise/config/old/20d6-vf_6.json
similarity index 100%
rename from config/old/20d6-vf_6.json
rename to paradise/config/old/20d6-vf_6.json
diff --git a/config/old/2d-corr.json b/paradise/config/old/2d-corr.json
similarity index 100%
rename from config/old/2d-corr.json
rename to paradise/config/old/2d-corr.json
diff --git a/config/old/2d-exp_corr.json b/paradise/config/old/2d-exp_corr.json
similarity index 100%
rename from config/old/2d-exp_corr.json
rename to paradise/config/old/2d-exp_corr.json
diff --git a/config/old/2d-mix.json b/paradise/config/old/2d-mix.json
similarity index 100%
rename from config/old/2d-mix.json
rename to paradise/config/old/2d-mix.json
diff --git a/config/old/2d-noise.json b/paradise/config/old/2d-noise.json
similarity index 100%
rename from config/old/2d-noise.json
rename to paradise/config/old/2d-noise.json
diff --git a/config/old/2d-noise_extracted_1.json b/paradise/config/old/2d-noise_extracted_1.json
similarity index 100%
rename from config/old/2d-noise_extracted_1.json
rename to paradise/config/old/2d-noise_extracted_1.json
diff --git a/config/old/2d-noise_extracted_2.json b/paradise/config/old/2d-noise_extracted_2.json
similarity index 100%
rename from config/old/2d-noise_extracted_2.json
rename to paradise/config/old/2d-noise_extracted_2.json
diff --git a/config/old/2d-noise_extracted_3.json b/paradise/config/old/2d-noise_extracted_3.json
similarity index 100%
rename from config/old/2d-noise_extracted_3.json
rename to paradise/config/old/2d-noise_extracted_3.json
diff --git a/config/old/2d-vf.json b/paradise/config/old/2d-vf.json
similarity index 100%
rename from config/old/2d-vf.json
rename to paradise/config/old/2d-vf.json
diff --git a/config/old/4d-corr.json b/paradise/config/old/4d-corr.json
similarity index 100%
rename from config/old/4d-corr.json
rename to paradise/config/old/4d-corr.json
diff --git a/config/old/4d-corr_1.json b/paradise/config/old/4d-corr_1.json
similarity index 100%
rename from config/old/4d-corr_1.json
rename to paradise/config/old/4d-corr_1.json
diff --git a/config/old/4d-corr_2.json b/paradise/config/old/4d-corr_2.json
similarity index 100%
rename from config/old/4d-corr_2.json
rename to paradise/config/old/4d-corr_2.json
diff --git a/config/old/4d-exp_corr.json b/paradise/config/old/4d-exp_corr.json
similarity index 100%
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diff --git a/config/old/4d-noise.json b/paradise/config/old/4d-noise.json
similarity index 100%
rename from config/old/4d-noise.json
rename to paradise/config/old/4d-noise.json
diff --git a/config/old/4d-noise_1.json b/paradise/config/old/4d-noise_1.json
similarity index 100%
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rename to paradise/config/old/4d-noise_1.json
diff --git a/config/old/4d-noise_2.json b/paradise/config/old/4d-noise_2.json
similarity index 100%
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diff --git a/config/old/4d-vf.json b/paradise/config/old/4d-vf.json
similarity index 100%
rename from config/old/4d-vf.json
rename to paradise/config/old/4d-vf.json
diff --git a/config/old/4d-vf_1.json b/paradise/config/old/4d-vf_1.json
similarity index 100%
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similarity index 100%
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diff --git a/config/old/4d1-corr.json b/paradise/config/old/4d1-corr.json
similarity index 100%
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diff --git a/config/old/4d1-noise.json b/paradise/config/old/4d1-noise.json
similarity index 100%
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diff --git a/config/old/4d1-vf.json b/paradise/config/old/4d1-vf.json
similarity index 100%
rename from config/old/4d1-vf.json
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diff --git a/config/old/6d1-corr.json b/paradise/config/old/6d1-corr.json
similarity index 100%
rename from config/old/6d1-corr.json
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diff --git a/config/old/6d1-noise.json b/paradise/config/old/6d1-noise.json
similarity index 100%
rename from config/old/6d1-noise.json
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similarity index 100%
rename from config/old/6d1-vf.json
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diff --git a/config/old/6d2-vf.json b/paradise/config/old/6d2-vf.json
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rename from config/old/6d2-vf.json
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similarity index 100%
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diff --git a/config/old/6d3-corr.json b/paradise/config/old/6d3-corr.json
similarity index 100%
rename from config/old/6d3-corr.json
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diff --git a/config/old/6d3-corr_1.json b/paradise/config/old/6d3-corr_1.json
similarity index 100%
rename from config/old/6d3-corr_1.json
rename to paradise/config/old/6d3-corr_1.json
diff --git a/config/old/6d3-corr_2.json b/paradise/config/old/6d3-corr_2.json
similarity index 100%
rename from config/old/6d3-corr_2.json
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diff --git a/config/old/6d3-corr_3.json b/paradise/config/old/6d3-corr_3.json
similarity index 100%
rename from config/old/6d3-corr_3.json
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diff --git a/config/old/6d3-exp_corr.json b/paradise/config/old/6d3-exp_corr.json
similarity index 100%
rename from config/old/6d3-exp_corr.json
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diff --git a/config/old/6d3-noise.json b/paradise/config/old/6d3-noise.json
similarity index 100%
rename from config/old/6d3-noise.json
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diff --git a/config/old/6d3-noise_1.json b/paradise/config/old/6d3-noise_1.json
similarity index 100%
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similarity index 100%
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diff --git a/config/old/6d3-noise_3.json b/paradise/config/old/6d3-noise_3.json
similarity index 100%
rename from config/old/6d3-noise_3.json
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diff --git a/config/old/6d3-vf.json b/paradise/config/old/6d3-vf.json
similarity index 100%
rename from config/old/6d3-vf.json
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diff --git a/config/old/6d3-vf_1.json b/paradise/config/old/6d3-vf_1.json
similarity index 100%
rename from config/old/6d3-vf_1.json
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diff --git a/config/old/6d3-vf_2.json b/paradise/config/old/6d3-vf_2.json
similarity index 100%
rename from config/old/6d3-vf_2.json
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diff --git a/config/old/6d3-vf_3.json b/paradise/config/old/6d3-vf_3.json
similarity index 100%
rename from config/old/6d3-vf_3.json
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diff --git a/config/old_generated/generated_config_1.json b/paradise/config/old_generated/generated_config_1.json
similarity index 100%
rename from config/old_generated/generated_config_1.json
rename to paradise/config/old_generated/generated_config_1.json
diff --git a/config/old_generated/generated_config_10.json b/paradise/config/old_generated/generated_config_10.json
similarity index 100%
rename from config/old_generated/generated_config_10.json
rename to paradise/config/old_generated/generated_config_10.json
diff --git a/config/old_generated/generated_config_11.json b/paradise/config/old_generated/generated_config_11.json
similarity index 100%
rename from config/old_generated/generated_config_11.json
rename to paradise/config/old_generated/generated_config_11.json
diff --git a/config/old_generated/generated_config_12.json b/paradise/config/old_generated/generated_config_12.json
similarity index 100%
rename from config/old_generated/generated_config_12.json
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diff --git a/config/old_generated/generated_config_13.json b/paradise/config/old_generated/generated_config_13.json
similarity index 100%
rename from config/old_generated/generated_config_13.json
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diff --git a/config/old_generated/generated_config_14.json b/paradise/config/old_generated/generated_config_14.json
similarity index 100%
rename from config/old_generated/generated_config_14.json
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diff --git a/config/old_generated/generated_config_15.json b/paradise/config/old_generated/generated_config_15.json
similarity index 100%
rename from config/old_generated/generated_config_15.json
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diff --git a/config/old_generated/generated_config_16.json b/paradise/config/old_generated/generated_config_16.json
similarity index 100%
rename from config/old_generated/generated_config_16.json
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diff --git a/config/old_generated/generated_config_17.json b/paradise/config/old_generated/generated_config_17.json
similarity index 100%
rename from config/old_generated/generated_config_17.json
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diff --git a/config/old_generated/generated_config_18.json b/paradise/config/old_generated/generated_config_18.json
similarity index 100%
rename from config/old_generated/generated_config_18.json
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diff --git a/config/old_generated/generated_config_19.json b/paradise/config/old_generated/generated_config_19.json
similarity index 100%
rename from config/old_generated/generated_config_19.json
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diff --git a/config/old_generated/generated_config_2.json b/paradise/config/old_generated/generated_config_2.json
similarity index 100%
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similarity index 100%
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diff --git a/config/old_generated/generated_config_3.json b/paradise/config/old_generated/generated_config_3.json
similarity index 100%
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diff --git a/config/old_generated/generated_config_4.json b/paradise/config/old_generated/generated_config_4.json
similarity index 100%
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similarity index 100%
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diff --git a/config/old_generated/generated_config_6.json b/paradise/config/old_generated/generated_config_6.json
similarity index 100%
rename from config/old_generated/generated_config_6.json
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diff --git a/config/old_generated/generated_config_7.json b/paradise/config/old_generated/generated_config_7.json
similarity index 100%
rename from config/old_generated/generated_config_7.json
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diff --git a/config/old_generated/generated_config_8.json b/paradise/config/old_generated/generated_config_8.json
similarity index 100%
rename from config/old_generated/generated_config_8.json
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diff --git a/config/old_generated/generated_config_9.json b/paradise/config/old_generated/generated_config_9.json
similarity index 100%
rename from config/old_generated/generated_config_9.json
rename to paradise/config/old_generated/generated_config_9.json
diff --git a/config/split/12d.json b/paradise/config/split/12d.json
similarity index 100%
rename from config/split/12d.json
rename to paradise/config/split/12d.json
diff --git a/config/split/12d_1.json b/paradise/config/split/12d_1.json
similarity index 100%
rename from config/split/12d_1.json
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diff --git a/config/split/12d_2.json b/paradise/config/split/12d_2.json
similarity index 100%
rename from config/split/12d_2.json
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diff --git a/config/split/12d_4.json b/paradise/config/split/12d_4.json
similarity index 100%
rename from config/split/12d_4.json
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diff --git a/config/split/2d.json b/paradise/config/split/2d.json
similarity index 100%
rename from config/split/2d.json
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diff --git a/config/split/4d.json b/paradise/config/split/4d.json
similarity index 100%
rename from config/split/4d.json
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diff --git a/config/split/4d_1.json b/paradise/config/split/4d_1.json
similarity index 100%
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diff --git a/config/split/4d_2.json b/paradise/config/split/4d_2.json
similarity index 100%
rename from config/split/4d_2.json
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diff --git a/config/split/6d.json b/paradise/config/split/6d.json
similarity index 100%
rename from config/split/6d.json
rename to paradise/config/split/6d.json
diff --git a/config/split/6d_1.json b/paradise/config/split/6d_1.json
similarity index 100%
rename from config/split/6d_1.json
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diff --git a/config/split/6d_2.json b/paradise/config/split/6d_2.json
similarity index 100%
rename from config/split/6d_2.json
rename to paradise/config/split/6d_2.json
diff --git a/config/split/6d_3.json b/paradise/config/split/6d_3.json
similarity index 100%
rename from config/split/6d_3.json
rename to paradise/config/split/6d_3.json
diff --git a/config_maker/anomalies/__init__.py b/paradise/config_maker/anomalies/__init__.py
similarity index 100%
rename from config_maker/anomalies/__init__.py
rename to paradise/config_maker/anomalies/__init__.py
diff --git a/config_maker/anomalies/base.py b/paradise/config_maker/anomalies/base.py
similarity index 100%
rename from config_maker/anomalies/base.py
rename to paradise/config_maker/anomalies/base.py
diff --git a/config_maker/anomalies/corr.py b/paradise/config_maker/anomalies/corr.py
similarity index 100%
rename from config_maker/anomalies/corr.py
rename to paradise/config_maker/anomalies/corr.py
diff --git a/config_maker/anomalies/frequency.py b/paradise/config_maker/anomalies/frequency.py
similarity index 100%
rename from config_maker/anomalies/frequency.py
rename to paradise/config_maker/anomalies/frequency.py
diff --git a/config_maker/anomalies/noise.py b/paradise/config_maker/anomalies/noise.py
similarity index 100%
rename from config_maker/anomalies/noise.py
rename to paradise/config_maker/anomalies/noise.py
diff --git a/config_maker/anomalies/varying_frequency.py b/paradise/config_maker/anomalies/varying_frequency.py
similarity index 100%
rename from config_maker/anomalies/varying_frequency.py
rename to paradise/config_maker/anomalies/varying_frequency.py
diff --git a/config_maker/config_maker.py b/paradise/config_maker/config_maker.py
similarity index 100%
rename from config_maker/config_maker.py
rename to paradise/config_maker/config_maker.py
diff --git a/config_maker/dimensions/__init__.py b/paradise/config_maker/dimensions/__init__.py
similarity index 100%
rename from config_maker/dimensions/__init__.py
rename to paradise/config_maker/dimensions/__init__.py
diff --git a/config_maker/dimensions/base.py b/paradise/config_maker/dimensions/base.py
similarity index 100%
rename from config_maker/dimensions/base.py
rename to paradise/config_maker/dimensions/base.py
diff --git a/config_maker/dimensions/correlation.py b/paradise/config_maker/dimensions/correlation.py
similarity index 100%
rename from config_maker/dimensions/correlation.py
rename to paradise/config_maker/dimensions/correlation.py
diff --git a/config_maker/dimensions/exp_correlation.py b/paradise/config_maker/dimensions/exp_correlation.py
similarity index 100%
rename from config_maker/dimensions/exp_correlation.py
rename to paradise/config_maker/dimensions/exp_correlation.py
diff --git a/config_maker/dimensions/oscillating.py b/paradise/config_maker/dimensions/oscillating.py
similarity index 100%
rename from config_maker/dimensions/oscillating.py
rename to paradise/config_maker/dimensions/oscillating.py
diff --git a/config_maker/dimensions/varying_frequency.py b/paradise/config_maker/dimensions/varying_frequency.py
similarity index 100%
rename from config_maker/dimensions/varying_frequency.py
rename to paradise/config_maker/dimensions/varying_frequency.py
diff --git a/config_maker/generator.py b/paradise/config_maker/generator.py
similarity index 100%
rename from config_maker/generator.py
rename to paradise/config_maker/generator.py
diff --git a/config_maker/sample_config.json b/paradise/config_maker/sample_config.json
similarity index 100%
rename from config_maker/sample_config.json
rename to paradise/config_maker/sample_config.json
diff --git a/generator/__init__.py b/paradise/generator/__init__.py
similarity index 100%
rename from generator/__init__.py
rename to paradise/generator/__init__.py
diff --git a/generator/anomaly/__init__.py b/paradise/generator/anomaly/__init__.py
similarity index 100%
rename from generator/anomaly/__init__.py
rename to paradise/generator/anomaly/__init__.py
diff --git a/generator/anomaly/base.py b/paradise/generator/anomaly/base.py
similarity index 100%
rename from generator/anomaly/base.py
rename to paradise/generator/anomaly/base.py
diff --git a/generator/anomaly/correlation.py b/paradise/generator/anomaly/correlation.py
similarity index 100%
rename from generator/anomaly/correlation.py
rename to paradise/generator/anomaly/correlation.py
diff --git a/generator/anomaly/frequency.py b/paradise/generator/anomaly/frequency.py
similarity index 100%
rename from generator/anomaly/frequency.py
rename to paradise/generator/anomaly/frequency.py
diff --git a/generator/anomaly/noise.py b/paradise/generator/anomaly/noise.py
similarity index 100%
rename from generator/anomaly/noise.py
rename to paradise/generator/anomaly/noise.py
diff --git a/generator/anomaly/value.py b/paradise/generator/anomaly/value.py
similarity index 100%
rename from generator/anomaly/value.py
rename to paradise/generator/anomaly/value.py
diff --git a/generator/anomaly/varying_frequency.py b/paradise/generator/anomaly/varying_frequency.py
similarity index 100%
rename from generator/anomaly/varying_frequency.py
rename to paradise/generator/anomaly/varying_frequency.py
diff --git a/generator/dataset.py b/paradise/generator/dataset.py
similarity index 97%
rename from generator/dataset.py
rename to paradise/generator/dataset.py
index d38cf0424edb84f775c5e3a35f89a68c1d0db4fe..7ca3d0084a8c0f1a9373d330530b32d87159f999 100644
--- a/generator/dataset.py
+++ b/paradise/generator/dataset.py
@@ -4,7 +4,6 @@ This module provides the main class needed to generate time series
 from typing import List, Tuple
 
 import numpy as np
-import matplotlib.pyplot as plt
 
 from generator.dimension import DIMENSION_CLASSES
 
@@ -65,7 +64,7 @@ class DatasetGenerator():
             result_train.append(self.training_dataset[subsystem])
             result_labels.append(np.bitwise_or.reduce(self.dimensions_labels[subsystem], dtype=np.int32))
 
-        return result, result_train, result_labels
+        return self.subsystems, result, result_train, result_labels
 
     def __str__(self) -> str:
         return f"Dataset(dimensions={len(self.dimensions)}, length={self.length})"
diff --git a/generator/dimension/__init__.py b/paradise/generator/dimension/__init__.py
similarity index 100%
rename from generator/dimension/__init__.py
rename to paradise/generator/dimension/__init__.py
diff --git a/generator/dimension/affine.py b/paradise/generator/dimension/affine.py
similarity index 100%
rename from generator/dimension/affine.py
rename to paradise/generator/dimension/affine.py
diff --git a/generator/dimension/base.py b/paradise/generator/dimension/base.py
similarity index 100%
rename from generator/dimension/base.py
rename to paradise/generator/dimension/base.py
diff --git a/generator/dimension/exp_correlation.py b/paradise/generator/dimension/exp_correlation.py
similarity index 100%
rename from generator/dimension/exp_correlation.py
rename to paradise/generator/dimension/exp_correlation.py
diff --git a/generator/dimension/inertia.py b/paradise/generator/dimension/inertia.py
similarity index 100%
rename from generator/dimension/inertia.py
rename to paradise/generator/dimension/inertia.py
diff --git a/generator/dimension/linear_correlation.py b/paradise/generator/dimension/linear_correlation.py
similarity index 100%
rename from generator/dimension/linear_correlation.py
rename to paradise/generator/dimension/linear_correlation.py
diff --git a/generator/dimension/oscillating.py b/paradise/generator/dimension/oscillating.py
similarity index 100%
rename from generator/dimension/oscillating.py
rename to paradise/generator/dimension/oscillating.py
diff --git a/generator/dimension/varying_frequency.py b/paradise/generator/dimension/varying_frequency.py
similarity index 100%
rename from generator/dimension/varying_frequency.py
rename to paradise/generator/dimension/varying_frequency.py
diff --git a/main.py b/paradise/main.py
similarity index 92%
rename from main.py
rename to paradise/main.py
index 3b405dc0be22846acd452d978c33d771c950a745..6fb36991505dbdcc86b526d7cf6a503771b814a9 100755
--- a/main.py
+++ b/paradise/main.py
@@ -15,7 +15,7 @@ import pandas as pd
 from generator import DatasetGenerator
 from split import BaseSplitter
 from trainers import BaseTrainer
-from results import ROCResults
+from results import ResultExtractor
 
 plt.rcParams["figure.figsize"] = (20, 10)
 
@@ -102,7 +102,7 @@ if __name__ == "__main__":
             generator = DatasetGenerator(config)
 
             dataset, train_dataset, labels, variables_labels = generator.generate()
-            splitted_data, splitted_train, splitted_labels = generator.get_splitted_data()
+            subsystems, splitted_data, splitted_train, splitted_labels = generator.get_splitted_data()
 
             # Save data to disk
             # Prepare the data
@@ -143,6 +143,13 @@ if __name__ == "__main__":
                 df_train_s.to_csv(f"{OUTPUT_DIR}/{config_name}/dataset_{idx}_train.csv", index_label="Timestamp")
                 pd.DataFrame(data=lab).to_csv(f"{OUTPUT_DIR}/{config_name}/dataset_{idx}_labels.csv", index=False)
 
+            with open(f"{OUTPUT_DIR}/{config_name}/subsystems.txt", "w", encoding="utf-8") as f:
+                clusters = np.zeros(dataset.shape[0])
+                for idx, cluster in enumerate(subsystems):
+                    for member in cluster:
+                        clusters[member] = idx
+                f.write(json.dumps(clusters))
+
 
     # =================================================================================================================
     #                                                 Split data
@@ -175,4 +182,5 @@ if __name__ == "__main__":
     #                                           Compute and plot results
     # =================================================================================================================
     if args.task in ["results", "all"]:
-        ROCResults(INPUT_DIR, args.algorithms, args.config).compute(auto_split=args.split)
+        results = ResultExtractor(INPUT_DIR).fetch_results().compute_results()
+        results.to_csv(f"{INPUT_DIR}/results.csv")
diff --git a/results/__init__.py b/paradise/results/__init__.py
similarity index 71%
rename from results/__init__.py
rename to paradise/results/__init__.py
index e4daf10759ace3b55011d279f3982624888dc842..239170f61843eb608c351b5ec6ef40c4fcd51a28 100644
--- a/results/__init__.py
+++ b/paradise/results/__init__.py
@@ -3,3 +3,4 @@ This package provides classes in charge of computing scores.
 """
 
 from .roc import ROCResults
+from .extractor import ResultExtractor
diff --git a/results/base.py b/paradise/results/base.py
similarity index 100%
rename from results/base.py
rename to paradise/results/base.py
diff --git a/paradise/results/extractor.py b/paradise/results/extractor.py
new file mode 100644
index 0000000000000000000000000000000000000000..19fcd05eb4c42bfbc59a331a10046538ca0b643e
--- /dev/null
+++ b/paradise/results/extractor.py
@@ -0,0 +1,170 @@
+#!/usr/bin/env python3
+import json
+
+import numpy as np
+import pandas as pd
+from sklearn.preprocessing import minmax_scale
+
+from utils import exec_cmd, reverse_window
+
+from .metrics import ARIMetric, F1Metric, ROCMetric
+
+
+class ResultExtractor():
+    """
+    This class extracts all the results available at a certain location under `*/results_{algorithm}/` directories.
+    """
+
+    def __init__(self, result_path):
+        self.path = result_path
+        self.results = {}
+        self.ground_truth = {}
+        self.partitions ={} 
+
+    def fetch_results(self):
+        """
+        This method fetch results from `self.path/*/results_{algorithm}` directories.
+
+        The directory will have the following structure:
+        {
+            <algorithm_name>: {
+                <dataset_name>: {
+                    "ground_truth": <np.array> of ground_truth labels,
+                    "paradise_scores": <np.array> of paradise scores. This array has as many dimensions
+                                    as clusters the method identify.
+                    "ideal_scores": <np.array> of ideally partitionned scores. This array has as many
+                                    as subsets there are in the ideal partition.
+                },
+                ...
+            }
+        }
+
+        :return: The directory containing the results
+        """
+        def __load_scores(cmd):
+            """
+            Load all score files returned by `exec(cmd)`
+
+            :param cmd: The command to run to retrieve the files
+            :return: The dict of scores for each of the found files. Each key is the number of the cluster
+                     that generated the score and each value associated contains the scores.
+            """
+            # Find paradise result files and load them
+            paradise_files = exec_cmd(cmd)
+            scores = {}
+            for p_file in paradise_files:
+                n = list(filter(str.isdigit, p_file.split("/")[-1]))[0]
+                scores[n] = np.loadtxt(p_file)
+
+            return scores
+
+        def __process_scores(scores, length):
+            """
+            This function applies reverse window algorithm and normalizes scores.
+
+            :param scores: The score array to process
+            :param length: The length of expected reversed window scores.
+            :return: A processed score array
+            """
+            if isinstance(scores, dict):
+                for k, v in scores.items():
+                    v = reverse_window(v, length)
+                    v = minmax_scale(v.reshape(-1, 1)).reshape(-1)
+                    scores[k] = v
+            else:
+                scores = reverse_window(scores, length)
+                scores = minmax_scale(scores.reshape(-1, 1)).reshape(-1)
+            return scores
+
+        config_folders = exec_cmd(f"ls {self.path}")
+
+        for folder in config_folders:
+            results_folders = exec_cmd(f"find -L {self.path}/{folder} -regex '^.*results[_a-zA-Z]*' -type d")
+            config_name = folder.split("/")[-1]
+
+            self.ground_truth[config_name] = pd.read_csv(f"{self.path}/{folder}/dataset_labels.csv")
+            self.partitions[config_name] = {}
+            with open(f"{self.path}/{folder}/splitting/dataset_split_clusters.txt", "r", encoding="utf-8") as f:
+                self.partitions[config_name]["paradise"] = json.load(f)
+            with open(f"{self.path}/{folder}/dataset_clusters.txt", "r", encoding="utf-8") as f:
+                self.partitions[config_name]["ideal"] = json.load(f)
+
+            for results_folder in results_folders:
+                algorithm = results_folder.split("/")[-1][8:]
+                # Load classic scores
+                classic_scores = np.loadtxt(f"{results_folder}/anomaly_scores_dataset_{algorithm}.ts")
+                classic_scores = __process_scores(classic_scores, len(self.ground_truth[config_name]))
+
+                # Find paradise result files and load them
+                cmd = f"find -L {results_folder} -regex '^.*anomaly_scores_dataset_-*[0-9]*_auto_split_{algorithm}.ts'"
+                paradise_scores = __load_scores(cmd)
+                paradise_scores = __process_scores(paradise_scores, len(self.ground_truth[config_name]))
+
+                # Find ideal result files and load them
+                cmd = f"find -L {results_folder} -regex '^.*anomaly_scores_dataset_[0-9]*_{algorithm}.ts'"
+                ideal_scores = __load_scores(cmd)
+                ideal_scores = __process_scores(ideal_scores, len(self.ground_truth[config_name]))
+
+                # Update the results
+                if algorithm in self.results:
+                    self.results[algorithm][config_name] = {
+                        "classic": classic_scores,
+                        "paradise": paradise_scores,
+                        "ideal": ideal_scores
+                    }
+                else:
+                    self.results[algorithm] = {
+                        config_name: {
+                            "classic": classic_scores,
+                            "paradise": paradise_scores,
+                            "ideal": ideal_scores
+                        }
+                    }
+
+        return self
+
+    def compute_results(self):
+        """
+        This method will compute all the metrics available for the results extracted
+        by the fetch_results method.
+
+        :return: A DataFrame containing the results
+        """
+        columns = [
+            "Algorithm",
+            "Dataset",
+            "F1",
+            "F1 paradise",
+            "F1 ideal",
+            "Resp. subset paradise",
+            "Resp. subset ideal",
+            "ROC",
+            "ROC paradise",
+            "ROC ideal",
+            "ARI"
+        ]
+        df = pd.DataFrame(columns=columns)
+
+        for algo, datasets in self.results.items():
+            for dataset_name, dataset_results in datasets.items():
+                f1_results = F1Metric().compute(dataset_results, self.ground_truth[dataset_name])
+                roc_results = ROCMetric().compute(dataset_results, self.ground_truth[dataset_name])
+                ari = ARIMetric().compute(
+                    self.partitions[dataset_name]["paradise"], self.partitions[dataset_name]["ideal"]
+                )
+                df.loc[len(df)] = [
+                    algo,
+                    dataset_name,
+                    f1_results[0],
+                    f1_results[1],
+                    f1_results[2],
+                    f1_results[3],
+                    f1_results[4],
+                    roc_results[0],
+                    roc_results[1],
+                    roc_results[2],
+                    ari
+                ]
+        df.set_index("Dataset", inplace=True)
+
+        return df
diff --git a/paradise/results/global.py b/paradise/results/global.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/paradise/results/metrics/__init__.py b/paradise/results/metrics/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..1903d7fe7e6dfada921dc3f0658c99e4443c1629
--- /dev/null
+++ b/paradise/results/metrics/__init__.py
@@ -0,0 +1,6 @@
+"""
+This module contains all the metrics definition.
+"""
+from.ari import ARIMetric
+from .f1 import F1Metric
+from .roc import ROCMetric
diff --git a/paradise/results/metrics/ari.py b/paradise/results/metrics/ari.py
new file mode 100644
index 0000000000000000000000000000000000000000..9773735a709bdcf4c216d1348ba51b50ae85da5c
--- /dev/null
+++ b/paradise/results/metrics/ari.py
@@ -0,0 +1,21 @@
+"""
+This module contains the code needed to compute the ARI score.
+"""
+from typing import Iterable
+
+from sklearn.metrics import adjusted_rand_score
+
+
+class ARIMetric:
+    """
+    This class defines the code needed to compute the ARI score.
+    """
+    def compute(self, paradise_partition: Iterable, ideal_partition: Iterable) -> float:
+        """
+        This method computes the expected metric.
+
+        :param paradise_partition: The partition obtained by paradise
+        :param ideal_partition: The ideal partition
+        :return: The expected metric value.
+        """
+        return adjusted_rand_score(ideal_partition, paradise_partition)
diff --git a/paradise/results/metrics/f1.py b/paradise/results/metrics/f1.py
new file mode 100644
index 0000000000000000000000000000000000000000..a4034dcbdef9b6c60007d2f927b1adf247475f0a
--- /dev/null
+++ b/paradise/results/metrics/f1.py
@@ -0,0 +1,87 @@
+"""
+This module contains the code needed to compute the F1 score.
+"""
+from typing import Iterable, Tuple
+
+import numpy as np
+from sklearn.metrics import precision_recall_curve
+
+
+class F1Metric:
+    """
+    This class defines the code needed to compute the F1 score.
+    """
+    def compute(self, results: dict, labels: Iterable) -> Tuple[float, float, float]:
+        """
+        This method computes the expected metric.
+
+        :param results: The results dictionary is supposed to contain the results
+                        with the following format:
+                            {
+                                "classic": <np.array>,
+                                "paradise": dict<str, np.array>,
+                                "ideal": dict<str, np.array>
+                            }
+        :return: The expected metric value.
+        """
+        def __find_optimal_f1(truth, predictions):
+            """
+            This function will find the optimal f1 score from the precision recall curve
+            
+            :param truth: The ground truth labels
+            :param pred: The predicted scores
+            :return: The optimal F1 score and the global scores
+            """
+            if isinstance(predictions, dict):
+                final_scores = np.zeros(len(truth))
+                for _, v in predictions.items():
+                    final_scores = np.maximum(final_scores, v)
+            else:
+                final_scores = predictions
+
+            prec, rec, thresholds = precision_recall_curve(truth, final_scores)
+            fscore = (2 * prec * rec) / (prec + rec)
+            fscore = np.nan_to_num(fscore)
+            idx = np.argmax(fscore)
+
+            return fscore[idx], final_scores, thresholds[idx]
+
+        def __find_responsible_subset(global_scores, local_scores, threshold):
+            """
+            This function will find the subset responsible of the value obtained at each instant.
+
+            :param truth: The global scores
+            :param preds: The predictions for each of the subset
+            :return: an array containing the responsible subsets for each instant.
+            """
+            res = np.array([set() for _ in range(len(global_scores))])
+
+            for subset, score in local_scores.items():
+                indices = np.argwhere(score == global_scores).reshape(-1)
+                for idx in indices:
+                    res[idx].add(subset)
+
+            responsibles = []
+            # Find indices where we have an anomaly
+            anomalies = (global_scores >= threshold).astype(int)
+            anomalies_idx = np.argwhere(anomalies == 1).reshape(-1)
+            # Find where we have a step in the anomaly function
+            changes = np.where(anomalies[:-1] != anomalies[1:])[0]
+            # Compute the results
+            for start, end in zip(changes[0::2], changes[1::2]):
+                responsibles.append((start, end, set.union(*res[start:end])))
+
+            return responsibles
+
+        # Compute F1 score for classic approach
+        classic_f1, _, _ = __find_optimal_f1(labels, results["classic"])
+
+        # Compute F1 score for paradise approach
+        paradise_f1, paradise_scores, threshold = __find_optimal_f1(labels, results["paradise"])
+        responsible_subset_paradise = __find_responsible_subset(paradise_scores, results["paradise"], threshold)
+
+        # Compute F1 score for ideal approach
+        ideal_f1, ideal_scores, threshold = __find_optimal_f1(labels, results["ideal"])
+        responsible_subset_ideal = __find_responsible_subset(ideal_scores, results["ideal"], threshold)
+
+        return classic_f1, paradise_f1, ideal_f1, responsible_subset_paradise, responsible_subset_ideal
diff --git a/paradise/results/metrics/roc.py b/paradise/results/metrics/roc.py
new file mode 100644
index 0000000000000000000000000000000000000000..f151340547762fe6841e34ccb0cde6d79531051a
--- /dev/null
+++ b/paradise/results/metrics/roc.py
@@ -0,0 +1,52 @@
+"""
+This module contains the code needed to compute the ROC score.
+"""
+from typing import Iterable, Tuple
+
+import numpy as np
+from sklearn.metrics import roc_auc_score
+
+
+class ROCMetric:
+    """
+    This class defines the code needed to compute the ROC score.
+    """
+    def compute(self, results: dict, labels: Iterable) -> Tuple[float, float, float]:
+        """
+        This method computes the expected metric.
+
+        :param results: The results dictionary is supposed to contain the results
+                        with the following format:
+                            {
+                                "classic": <np.array>,
+                                "paradise": dict<str, np.array>,
+                                "ideal": dict<str, np.array>
+                            }
+        :return: The expected metric value.
+        """
+        def __compute_roc(truth, predictions):
+            """
+            This function computes the ROC score for the given labels and predictions.
+
+            :param labels: The ground truth labels
+            :param predictions: The predictions
+            """
+            if isinstance(predictions, dict):
+                final_scores = np.zeros(len(truth))
+                for score in predictions.values():
+                    final_scores = np.maximum(final_scores, score)
+            else:
+                final_scores = predictions
+
+            return roc_auc_score(labels, final_scores)
+
+        # Compute score for classic approach
+        classic_roc = __compute_roc(labels, results["classic"])
+
+        # Compute score for paradise approach
+        paradise_roc = __compute_roc(labels, results["paradise"])
+
+        # Compute score for ideal approach
+        ideal_roc = __compute_roc(labels, results["ideal"])
+
+        return classic_roc, paradise_roc, ideal_roc
diff --git a/results/roc.py b/paradise/results/roc.py
similarity index 100%
rename from results/roc.py
rename to paradise/results/roc.py
diff --git a/split/__init__.py b/paradise/split/__init__.py
similarity index 100%
rename from split/__init__.py
rename to paradise/split/__init__.py
diff --git a/split/base.py b/paradise/split/base.py
similarity index 97%
rename from split/base.py
rename to paradise/split/base.py
index 2e14789b7cae160d4b589988a1537731c815ac9a..8150448604aadcf944f85904a00153b24a1dcbe8 100644
--- a/split/base.py
+++ b/paradise/split/base.py
@@ -5,23 +5,23 @@ clustering.
 import json
 import os
 
+from time import time
+from warnings import  simplefilter
+
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
 import seaborn as sns
 
-from time import time
-
 from sklearn.cluster import KMeans, HDBSCAN
 from sklearn.exceptions import ConvergenceWarning
 from sklearn.metrics import silhouette_score
 
-from warnings import  simplefilter
-
 from .correlations import CORRELATION_CLASSES
 
 simplefilter("ignore", category=ConvergenceWarning)
 
+
 class BaseSplitter:
     """
     Class in charge of doing basic splitting using correlation coefficients
@@ -69,7 +69,7 @@ class BaseSplitter:
                 best_clusters = clusters
 
         # Save choosen clustering
-        with open(f"{self.output_path}/dataset_clusters.txt", "w", encoding="utf-8") as f:
+        with open(f"{self.output_path}/dataset_split_clusters.txt", "w", encoding="utf-8") as f:
             f.write(json.dumps(best_clusters.tolist()))
 
         # Split the dataset
diff --git a/split/correlations/__init__.py b/paradise/split/correlations/__init__.py
similarity index 100%
rename from split/correlations/__init__.py
rename to paradise/split/correlations/__init__.py
diff --git a/split/correlations/base.py b/paradise/split/correlations/base.py
similarity index 100%
rename from split/correlations/base.py
rename to paradise/split/correlations/base.py
diff --git a/split/correlations/dcor.py b/paradise/split/correlations/dcor.py
similarity index 100%
rename from split/correlations/dcor.py
rename to paradise/split/correlations/dcor.py
diff --git a/split/correlations/kendall.py b/paradise/split/correlations/kendall.py
similarity index 100%
rename from split/correlations/kendall.py
rename to paradise/split/correlations/kendall.py
diff --git a/split/correlations/pearson.py b/paradise/split/correlations/pearson.py
similarity index 100%
rename from split/correlations/pearson.py
rename to paradise/split/correlations/pearson.py
diff --git a/split/correlations/spearman.py b/paradise/split/correlations/spearman.py
similarity index 100%
rename from split/correlations/spearman.py
rename to paradise/split/correlations/spearman.py
diff --git a/split/correlations/xi.py b/paradise/split/correlations/xi.py
similarity index 100%
rename from split/correlations/xi.py
rename to paradise/split/correlations/xi.py
diff --git a/trainers/__init__.py b/paradise/trainers/__init__.py
similarity index 100%
rename from trainers/__init__.py
rename to paradise/trainers/__init__.py
diff --git a/trainers/auto_encoder.py b/paradise/trainers/auto_encoder.py
similarity index 100%
rename from trainers/auto_encoder.py
rename to paradise/trainers/auto_encoder.py
diff --git a/trainers/base.py b/paradise/trainers/base.py
similarity index 100%
rename from trainers/base.py
rename to paradise/trainers/base.py
diff --git a/trainers/correlations/__init__.py b/paradise/trainers/correlations/__init__.py
similarity index 100%
rename from trainers/correlations/__init__.py
rename to paradise/trainers/correlations/__init__.py
diff --git a/trainers/correlations/base.py b/paradise/trainers/correlations/base.py
similarity index 100%
rename from trainers/correlations/base.py
rename to paradise/trainers/correlations/base.py
diff --git a/trainers/correlations/kendall.py b/paradise/trainers/correlations/kendall.py
similarity index 100%
rename from trainers/correlations/kendall.py
rename to paradise/trainers/correlations/kendall.py
diff --git a/trainers/correlations/pearson.py b/paradise/trainers/correlations/pearson.py
similarity index 100%
rename from trainers/correlations/pearson.py
rename to paradise/trainers/correlations/pearson.py
diff --git a/trainers/correlations/spearman.py b/paradise/trainers/correlations/spearman.py
similarity index 100%
rename from trainers/correlations/spearman.py
rename to paradise/trainers/correlations/spearman.py
diff --git a/trainers/correlations/xi.py b/paradise/trainers/correlations/xi.py
similarity index 100%
rename from trainers/correlations/xi.py
rename to paradise/trainers/correlations/xi.py
diff --git a/trainers/deepant.py b/paradise/trainers/deepant.py
similarity index 100%
rename from trainers/deepant.py
rename to paradise/trainers/deepant.py
diff --git a/trainers/docker_base.py b/paradise/trainers/docker_base.py
similarity index 100%
rename from trainers/docker_base.py
rename to paradise/trainers/docker_base.py
diff --git a/trainers/health_esn.py b/paradise/trainers/health_esn.py
similarity index 100%
rename from trainers/health_esn.py
rename to paradise/trainers/health_esn.py
diff --git a/trainers/iforest.py b/paradise/trainers/iforest.py
similarity index 100%
rename from trainers/iforest.py
rename to paradise/trainers/iforest.py
diff --git a/trainers/kmeans.py b/paradise/trainers/kmeans.py
similarity index 100%
rename from trainers/kmeans.py
rename to paradise/trainers/kmeans.py
diff --git a/trainers/lstm_ad.py b/paradise/trainers/lstm_ad.py
similarity index 100%
rename from trainers/lstm_ad.py
rename to paradise/trainers/lstm_ad.py
diff --git a/trainers/normalizing_flows.py b/paradise/trainers/normalizing_flows.py
similarity index 100%
rename from trainers/normalizing_flows.py
rename to paradise/trainers/normalizing_flows.py
diff --git a/trainers/random_black_forest.py b/paradise/trainers/random_black_forest.py
similarity index 100%
rename from trainers/random_black_forest.py
rename to paradise/trainers/random_black_forest.py
diff --git a/trainers/telemanom.py b/paradise/trainers/telemanom.py
similarity index 100%
rename from trainers/telemanom.py
rename to paradise/trainers/telemanom.py
diff --git a/paradise/utils/__init__.py b/paradise/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..3205cb70c61a24c6e66b1b8cbb93d40789e48cd2
--- /dev/null
+++ b/paradise/utils/__init__.py
@@ -0,0 +1,7 @@
+"""
+This module contains all kind of utility functions and classes that are
+needed throughout the code base.
+"""
+
+from .commands import exec_cmd
+from .scores import reverse_window
diff --git a/paradise/utils/commands.py b/paradise/utils/commands.py
new file mode 100644
index 0000000000000000000000000000000000000000..2c9e2c56127aeae0d5c64bc587a1891a5e1d615b
--- /dev/null
+++ b/paradise/utils/commands.py
@@ -0,0 +1,19 @@
+"""
+This module contains the utility functions related to shell commands execution.
+"""
+import subprocess
+from typing import Iterable
+
+def exec_cmd(cmd) -> Iterable[str]:
+    """
+    Execute a shell command and process its output.
+
+    :param cmd: The command string to run. Must be bash compliant
+    :return: a list string containing the output of the command line by line.
+    """
+    output = subprocess.check_output(cmd, shell=True).decode("utf-8").split("\n")
+
+    if output[-1] == "":
+        return output[:-1]
+
+    return output
diff --git a/paradise/utils/scores.py b/paradise/utils/scores.py
new file mode 100644
index 0000000000000000000000000000000000000000..4a27b5b3dfe7ac2b3fb4d5411ab3cb079d30f7b7
--- /dev/null
+++ b/paradise/utils/scores.py
@@ -0,0 +1,29 @@
+"""
+This module contains functions and code needed to handle scores.
+"""
+import numpy as np
+
+
+def reverse_window(scores, length):
+    """
+    This function is in charge of converting a window based score in a
+    point based score.
+
+    :param scores: The scores to proces. If the scores are not window based, nothing will happen.
+    :return: The point based scores
+    """
+    scores = np.nan_to_num(scores)
+
+    # Check if the scores are indeed window based
+    if len(scores) == length:
+        return scores
+
+    results = np.zeros(length)
+    w_size = length - len(scores) + 1
+    for idx in range(length):
+        start = idx - w_size if idx - w_size >= 0 else 0
+        end = idx + w_size if idx + w_size < length else length
+
+        results[idx] = np.mean(scores[start:end])
+
+    return results
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000000000000000000000000000000000000..b813c3d250950ed87b0998b12e0d826785120aae
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1443 @@
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+
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+description = "Bayesian Optimization package"
+optional = false
+python-versions = ">= 3.7"
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+scipy = ">=1.0.0"
+
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+version = "0.4.6"
+description = "Cross-platform colored terminal text."
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..110bb8c25aafe06445b30ca578961381145faea9
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,30 @@
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