From 99e4a6ba21c7f0dddd6488df84bf513bf1ed834d Mon Sep 17 00:00:00 2001
From: Caroline DE POURTALES <cdepourt@montana.irit.fr>
Date: Tue, 5 Apr 2022 14:53:49 +0200
Subject: [PATCH] can upload an skl tree
---
.gitignore | 8 +-
assets/header.css | 11 +-
callbacks.py | 40 ++--
callbacks_detached.py | 172 ++++++++++++++++++
.../DecisionTree/DecisionTreeComponent.py | 88 +++++----
pages/application/DecisionTree/utils/data.py | 6 +-
pages/application/DecisionTree/utils/dtree.py | 14 +-
pages/application/DecisionTree/utils/dtviz.py | 10 +-
.../DecisionTree/utils/upload_tree.py | 5 +-
pages/application/application.py | 130 +++++++------
requirements.txt | 5 +-
tests/adult/adult.pkl | Bin 0 -> 3033 bytes
tests/adult/adult_2.pkl | Bin 0 -> 2166 bytes
tests/adult/adult_3.pkl | Bin 0 -> 1734 bytes
tests/adult/adult_data_00000.inst | 1 +
.../decision_tree_classifier_20170212.pkl | Bin 0 -> 1916 bytes
tests/iris/iris.csv | 151 +++++++++++++++
tests/iris/iris.pkl | Bin 0 -> 2047 bytes
tests/iris/iris.txt | 4 +
tests/iris/iris01.json | 4 +
tests/iris/iris2.pkl | Bin 0 -> 2047 bytes
tests/iris/iris_00000.txt | 1 +
tests/zoo/inst/zoo_00.inst | 1 +
tests/zoo/inst/zoo_01.inst | 1 +
tests/zoo/inst/zoo_02.inst | 1 +
tests/zoo/inst/zoo_11.inst | 1 +
tests/zoo/zoo.csv | 102 +++++++++++
tests/zoo/zoo.dt | 85 +++++++++
tests/zoo/zoo.json | 18 ++
tests/zoo/zoo.map | 38 ++++
tests/zoo/zoo.pkl | Bin 0 -> 2303 bytes
utils.py | 13 +-
32 files changed, 756 insertions(+), 154 deletions(-)
create mode 100644 callbacks_detached.py
create mode 100644 tests/adult/adult.pkl
create mode 100644 tests/adult/adult_2.pkl
create mode 100644 tests/adult/adult_3.pkl
create mode 100644 tests/adult/adult_data_00000.inst
create mode 100644 tests/iris/decision_tree_classifier_20170212.pkl
create mode 100644 tests/iris/iris.csv
create mode 100644 tests/iris/iris.pkl
create mode 100644 tests/iris/iris.txt
create mode 100644 tests/iris/iris01.json
create mode 100644 tests/iris/iris2.pkl
create mode 100644 tests/iris/iris_00000.txt
create mode 100644 tests/zoo/inst/zoo_00.inst
create mode 100644 tests/zoo/inst/zoo_01.inst
create mode 100644 tests/zoo/inst/zoo_02.inst
create mode 100644 tests/zoo/inst/zoo_11.inst
create mode 100644 tests/zoo/zoo.csv
create mode 100644 tests/zoo/zoo.dt
create mode 100644 tests/zoo/zoo.json
create mode 100644 tests/zoo/zoo.map
create mode 100644 tests/zoo/zoo.pkl
diff --git a/.gitignore b/.gitignore
index 7c8041b..f7db4b6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,10 +3,4 @@ __pycache__
pages/application/DecisionTree/utils/__pycache__
pages/application/DecisionTree/__pycache__
pages/application/__pycache__
-decision_tree_classifier_20170212.pkl
-push_command
-adult.pkl
-adult_data_00000.inst
-iris_00000.txt
-tests
-create_pkl.py
\ No newline at end of file
+tests/push_command
\ No newline at end of file
diff --git a/assets/header.css b/assets/header.css
index 8da0dd9..3a882ea 100644
--- a/assets/header.css
+++ b/assets/header.css
@@ -36,6 +36,12 @@ div.sidebar.col-3 {
background-color:gray;
}
+.sidebar .check-boxes{
+ width: 100%;
+ height: 40px;
+ text-align: center;
+}
+
.sidebar .upload {
width: 100%;
height: 50px;
@@ -49,7 +55,6 @@ div.sidebar.col-3 {
.sidebar .Select-control {
width: 100%;
- height: 30px;
line-height: 30px;
border-width: 1px;
border-radius: 5px;
@@ -60,9 +65,9 @@ div.sidebar.col-3 {
background-color: rgb(26,26,26);
}
-.sidebar .sidebar-dropdown{
+.sidebar .dropdown{
width: 100%;
- height: 40px;
+ height: 30px;
line-height: 30px;
border-width: 1px;
border-radius: 5px;
diff --git a/callbacks.py b/callbacks.py
index 04930d6..5ef62d6 100644
--- a/callbacks.py
+++ b/callbacks.py
@@ -54,10 +54,13 @@ def register_callbacks(page_home, page_course, page_application, app):
if ctx.triggered:
ihm_id = ctx.triggered[0]['prop_id'].split('.')[0]
model_application = page_application.model
+
+ # Choice of model
if ihm_id == 'ml_model_choice' :
- model_application.update_ml_model(value_ml_model)
- return None, None, None, None, None
+ model_application.update_ml_model(value_ml_model)
+ return None, None, None, None, None
+ # Choice of pkl pretrained model
elif ihm_id == 'ml_pretrained_model_choice':
if model_application.ml_model is None :
raise PreventUpdate
@@ -69,6 +72,7 @@ def register_callbacks(page_home, page_course, page_application, app):
else :
return pretrained_model_filename, None, None, None, None
+ # Choice of information for the model
elif ihm_id == 'model_info_choice':
if model_application.ml_model is None :
raise PreventUpdate
@@ -76,36 +80,38 @@ def register_callbacks(page_home, page_course, page_application, app):
model_application.update_pretrained_model_layout_with_info(model_info, model_info_filename)
return pretrained_model_filename, model_info_filename, None, model_application.component.network, None
+ # Choice of instance to explain
elif ihm_id == 'ml_instance_choice' :
- if model_application.ml_model is None or model_application.pretrained_model is None :
+ if model_application.ml_model is None or model_application.pretrained_model is None or model_application.enum<=0 or model_application.xtype is None :
raise PreventUpdate
instance = parse_contents_instance(instance_contents, instance_filename)
- model_application.update_instance(instance, enum, xtype)
+ model_application.update_instance(instance)
return pretrained_model_filename, model_info_filename, instance_filename, model_application.component.network, model_application.component.explanation
+ # Choice of number of expls
elif ihm_id == 'number_explanations' :
- if model_application.ml_model is None or model_application.pretrained_model is None or model_application.instance is None:
+ if model_application.ml_model is None or model_application.pretrained_model is None or len(model_application.instance)==0 or model_application.xtype is None:
raise PreventUpdate
- instance = parse_contents_instance(model_application.instance, instance_filename)
- model_application.update_instance(instance, enum, xtype)
+ model_application.update_enum(enum)
return pretrained_model_filename, model_info_filename, instance_filename, model_application.component.network, model_application.component.explanation
+ # Choice of AxP or CxP
elif ihm_id == 'explanation_type' :
- if model_application.ml_model is None or model_application.pretrained_model is None or model_application.instance is None:
+ if model_application.ml_model is None or model_application.pretrained_model is None or len(model_application.instance)==0 or model_application.enum<=0 :
raise PreventUpdate
- instance = parse_contents_instance(model_application.instance, instance_filename)
- model_application.update_instance(instance, enum, xtype)
+ model_application.update_xtype(xtype)
return pretrained_model_filename, model_info_filename, instance_filename, model_application.component.network, model_application.component.explanation
+ # Choice of solver
elif ihm_id == 'solver_sat' :
- if model_application.ml_model is None or model_application.pretrained_model is None or model_application.instance is None:
+ if model_application.ml_model is None or model_application.pretrained_model is None or len(model_application.instance)==0 or model_application.enum<=0 or len(model_application.xtype)==0:
raise PreventUpdate
- instance = parse_contents_instance(model_application.instance, instance_filename)
- model_application.update_instance(instance, enum, xtype, solver=solver)
+ model_application.update_solver(solver)
return pretrained_model_filename, model_info_filename, instance_filename, model_application.component.network, model_application.component.explanation
+ # Choice of AxP to draw
elif ihm_id == 'expl_choice' :
- if instance_contents is None :
+ if model_application.ml_model is None or model_application.pretrained_model is None or len(model_application.instance)==0 or model_application.enum<=0 or len(model_application.xtype)==0:
raise PreventUpdate
model_application.update_expl(expl_choice)
return pretrained_model_filename, model_info_filename, instance_filename, model_application.component.network, model_application.component.explanation
@@ -133,14 +139,14 @@ def register_callbacks(page_home, page_course, page_application, app):
return False, False, False, options
@app.callback(
- Output('model_info_choice', 'disabled'),
- Input('add_info_model_choice', 'value'),
+ Output('choice_info_div', 'hidden'),
+ Input('add_info_model_choice', 'on'),
prevent_initial_call=True
)
def add_model_info(add_info_model_choice):
model_application = page_application.model
model_application.update_info_needed(add_info_model_choice)
- if add_info_model_choice==1:
+ if add_info_model_choice:
return False
else :
return True
diff --git a/callbacks_detached.py b/callbacks_detached.py
new file mode 100644
index 0000000..a8db16f
--- /dev/null
+++ b/callbacks_detached.py
@@ -0,0 +1,172 @@
+import dash
+import pandas as pd
+from dash import Input, Output, State
+from dash.dependencies import Input, Output, State
+from dash.exceptions import PreventUpdate
+
+from utils import parse_contents_graph, parse_contents_instance, parse_contents_data
+
+
+def register_callbacks(page_home, page_course, page_application, app):
+ page_list = ['home', 'course', 'application']
+
+ @app.callback(
+ Output('page-content', 'children'),
+ Input('url', 'pathname'))
+ def display_page(pathname):
+ if pathname == '/':
+ return page_home
+ if pathname == '/application':
+ return page_application.view.layout
+ if pathname == '/course':
+ return page_course
+
+ @app.callback(Output('home-link', 'active'),
+ Output('course-link', 'active'),
+ Output('application-link', 'active'),
+ Input('url', 'pathname'))
+ def navbar_state(pathname):
+ active_link = ([pathname == f'/{i}' for i in page_list])
+ return active_link[0], active_link[1], active_link[2]
+
+ @app.callback(
+ Output('graph', 'children'),
+ Input('ml_model_choice', 'value'),
+ prevent_initial_call=True
+ )
+ def update_ml_type(value_ml_model):
+ model_application = page_application.model
+ model_application.update_ml_model(value_ml_model)
+ return None
+
+ @app.callback(
+ Output('pretrained_model_filename', 'children'),
+ Output('graph', 'children'),
+ Input('ml_pretrained_model_choice', 'contents'),
+ State('ml_pretrained_model_choice', 'filename'),
+ prevent_initial_call=True
+ )
+ def update_ml_pretrained_model(pretrained_model_contents, pretrained_model_filename):
+ model_application = page_application.model
+ if model_application.ml_model is None :
+ raise PreventUpdate
+ graph = parse_contents_graph(pretrained_model_contents, pretrained_model_filename)
+ model_application.update_pretrained_model(graph)
+ if not model_application.add_info :
+ model_application.update_pretrained_model_layout()
+ return pretrained_model_filename, model_application.component.network
+ else :
+ return pretrained_model_filename, None
+
+ @app.callback(
+ Output('info_filename', 'children'),
+ Output('graph', 'children'),
+ Input('model_info_choice', 'contents'),
+ State('model_info_choice', 'filename'),
+ prevent_initial_call=True
+ )
+ def update_info_model(model_info, model_info_filename):
+ model_application = page_application.model
+ if model_application.ml_model is None :
+ raise PreventUpdate
+ model_info = parse_contents_data(model_info, model_info_filename)
+ model_application.update_pretrained_model_layout_with_info(model_info, model_info_filename)
+ return model_info_filename, model_application.component.network
+
+ @app.callback(
+ Output('instance_filename', 'children'),
+ Output('graph', 'children'),
+ Output('explanation', 'children'),
+ Input('ml_instance_choice', 'contents'),
+ State('ml_instance_choice', 'filename'),
+ prevent_initial_call=True
+ )
+ def update_instance(instance_contents, instance_filename):
+ model_application = page_application.model
+ if model_application.ml_model is None or model_application.pretrained_model is None or model_application.enum<=0 or model_application.xtype is None :
+ raise PreventUpdate
+ instance = parse_contents_instance(instance_contents, instance_filename)
+ model_application.update_instance(instance)
+ return instance_filename, model_application.component.network, model_application.component.explanation
+
+ @app.callback(
+ Output('explanation', 'children'),
+ Input('number_explanations', 'value'),
+ prevent_initial_call=True
+ )
+ def update_enum(enum):
+ model_application = page_application.model
+ if model_application.ml_model is None or model_application.pretrained_model is None or len(model_application.instance)==0 or model_application.xtype is None:
+ raise PreventUpdate
+ model_application.update_enum(enum)
+ return model_application.component.explanation
+
+ @app.callback(
+ Output('explanation', 'children'),
+ Input('explanation_type', 'value'),
+ prevent_initial_call=True
+ )
+ def update_xtype(xtype):
+ model_application = page_application.model
+ if model_application.ml_model is None or model_application.pretrained_model is None or len(model_application.instance)==0 or model_application.enum<=0 :
+ raise PreventUpdate
+ model_application.update_xtype(xtype)
+ return model_application.component.explanation
+
+ @app.callback(
+ Output('explanation', 'children'),
+ Input('solver_sat', 'value'),
+ prevent_initial_call=True
+)
+ def update_solver(solver):
+ model_application = page_application.model
+ if model_application.ml_model is None or model_application.pretrained_model is None or len(model_application.instance)==0 or model_application.enum<=0 or len(model_application.xtype)==0:
+ raise PreventUpdate
+ model_application.update_solver(solver)
+ return model_application.component.explanation
+
+ @app.callback(
+ Output('graph', 'children'),
+ Input('expl_choice', 'value'),
+ prevent_initial_call=True
+ )
+ def update_expl_choice( expl_choice):
+ model_application = page_application.model
+ if model_application.ml_model is None or model_application.pretrained_model is None or len(model_application.instance)==0 or model_application.enum<=0 or len(model_application.xtype)==0:
+ raise PreventUpdate
+ model_application.update_expl(expl_choice)
+ return model_application.component.network
+
+ @app.callback(
+ Output('explanation', 'hidden'),
+ Output('navigate_label', 'hidden'),
+ Output('navigate_dropdown', 'hidden'),
+ Output('expl_choice', 'options'),
+ Input('explanation', 'children'),
+ Input('explanation_type', 'value'),
+ prevent_initial_call=True
+ )
+ def layout_buttons_navigate_expls(explanation, explanation_type):
+ if explanation is None or len(explanation_type)==0:
+ return True, True, True, {}
+ elif "AXp" not in explanation_type and "CXp" in explanation_type:
+ return False, True, True, {}
+ else :
+ options = {}
+ model_application = page_application.model
+ for i in range (len(model_application.list_expls)):
+ options[str(model_application.list_expls[i])] = model_application.list_expls[i]
+ return False, False, False, options
+
+ @app.callback(
+ Output('choice_info_div', 'hidden'),
+ Input('add_info_model_choice', 'on'),
+ prevent_initial_call=True
+ )
+ def add_model_info(add_info_model_choice):
+ model_application = page_application.model
+ model_application.update_info_needed(add_info_model_choice)
+ if add_info_model_choice:
+ return False
+ else :
+ return True
diff --git a/pages/application/DecisionTree/DecisionTreeComponent.py b/pages/application/DecisionTree/DecisionTreeComponent.py
index a1e2363..8a56c32 100644
--- a/pages/application/DecisionTree/DecisionTreeComponent.py
+++ b/pages/application/DecisionTree/DecisionTreeComponent.py
@@ -15,27 +15,32 @@ from pages.application.DecisionTree.utils.dtviz import (visualize,
class DecisionTreeComponent():
- def __init__(self, tree, info=None, type_info=''):
-
+ def __init__(self, tree, type_tree='SKL', info=None, type_info=''):
if info is not None and '.csv' in type_info:
self.categorical = True
data = Data(info)
fvmap = data.mapping_features()
feature_names = data.names[:-1]
-
- self.uploaded_dt = UploadedDecisionTree(tree, 'SKL', maxdepth=tree.get_depth(), feature_names=feature_names, nb_classes=tree.n_classes_)
+ self.uploaded_dt = UploadedDecisionTree(tree, type_tree, maxdepth=tree.get_depth(), feature_names=feature_names, nb_classes=tree.n_classes_)
self.dt_format, self.map, features_names_mapping = self.uploaded_dt.dump(fvmap, feat_names=feature_names)
- self.mapping_instance = self.create_fvmap_inverse_with_info(features_names_mapping)
-
elif info is not None and '.txt' in type_info :
self.categorical = True
fvmap = {}
-
- self.uploaded_dt = UploadedDecisionTree(tree, 'SKL', maxdepth=tree.get_depth(), feature_names=feature_names, nb_classes=tree.n_classes_)
+ feature_names = []
+ for i,line in enumerate(info.split('\n')):
+ fid, TYPE = line.split(',')[:2]
+ dom = line.split(',')[2:]
+ assert (fid not in feature_names)
+ feature_names.append(fid)
+ assert (TYPE in ['Binary', 'Categorical'])
+ fvmap[f'f{i}'] = dict()
+ dom = sorted(dom)
+ for j,v in enumerate(dom):
+ fvmap[f'f{i}'][j] = (fid, True, v)
+ self.uploaded_dt = UploadedDecisionTree(tree, type_tree, maxdepth=tree.get_depth(), feature_names=feature_names, nb_classes=tree.n_classes_)
self.dt_format, self.map, features_names_mapping = self.uploaded_dt.dump(fvmap, feat_names=feature_names)
- self.mapping_instance = self.create_fvmap_inverse_with_info(features_names_mapping)
else :
self.categorical = False
@@ -43,42 +48,46 @@ class DecisionTreeComponent():
feature_names = tree.feature_names_in_
except:
feature_names = [f'f{i}' for i in range(tree.n_features_in_)]
-
- self.uploaded_dt = UploadedDecisionTree(tree, 'SKL', maxdepth=tree.get_depth(), feature_names=feature_names, nb_classes=tree.n_classes_)
+ self.uploaded_dt = UploadedDecisionTree(tree, type_tree, maxdepth=tree.get_depth(), feature_names=feature_names, nb_classes=tree.n_classes_)
self.dt_format, self.map, features_names_mapping = self.uploaded_dt.convert_dt(feat_names=feature_names)
- self.mapping_instance = self.create_fvmap_inverse_threashold(features_names_mapping)
-
- self.dt = DecisionTree(from_dt=self.dt_format, mapfile = self.map)
+
+ self.mapping_instance = self.create_fvmap_inverse(features_names_mapping)
+ self.dt = DecisionTree(from_dt=self.dt_format, mapfile = self.map, feature_names = feature_names)
dot_source = visualize(self.dt)
- self.network = [dbc.Row(dash_interactive_graphviz.DashInteractiveGraphviz(dot_source=dot_source, style = {"width": "60%",
+ self.network = html.Div([dash_interactive_graphviz.DashInteractiveGraphviz(dot_source=dot_source, style = {"width": "60%",
"height": "90%",
- "background-color": "transparent"}))]
+ "background-color": "transparent"})])
self.explanation = []
- def create_fvmap_inverse_with_info(self, features_names_mapping) :
- mapping_instance = {}
- for feat in features_names_mapping :
- feat_dic = {}
- feature_description = feat.split(',')
- name_feat, id_feat = feature_description[1].split(':')
+ def create_fvmap_inverse(self, instance):
+ def create_fvmap_inverse_with_info(features_names_mapping) :
+ mapping_instance = {}
+ for feat in features_names_mapping :
+ feat_dic = {}
+ feature_description = feat.split(',')
+ name_feat, id_feat = feature_description[1].split(':')
- for mapping in feature_description[2:]:
- real_value, mapped_value = mapping.split(':')
- feat_dic[np.float32(real_value)] = int(mapped_value)
- mapping_instance[name_feat] = feat_dic
+ for mapping in feature_description[2:]:
+ real_value, mapped_value = mapping.split(':')
+ feat_dic[np.float32(real_value)] = int(mapped_value)
+ mapping_instance[name_feat] = feat_dic
- return mapping_instance
+ return mapping_instance
+ def create_fvmap_inverse_threashold(features_names_mapping) :
+ mapping_instance = {}
+ for feat in features_names_mapping :
+ feature_description = feat.split(',')
+ name_feat, id_feat = feature_description[1].split(':')
+ mapping_instance[name_feat] = float(feature_description[2].split(':')[0])
- def create_fvmap_inverse_threashold(self, features_names_mapping) :
- mapping_instance = {}
- for feat in features_names_mapping :
- feature_description = feat.split(',')
- name_feat, id_feat = feature_description[1].split(':')
- mapping_instance[name_feat] = float(feature_description[2].split(':')[0])
+ return mapping_instance
- return mapping_instance
+ if self.categorical :
+ return create_fvmap_inverse_with_info(instance)
+ else :
+ return create_fvmap_inverse_threashold(instance)
def translate_instance(self, instance):
@@ -114,14 +123,17 @@ class DecisionTreeComponent():
explanation = self.dt.explain(instance_translated, enum=enum, xtype = xtype, solver=solver)
dot_source = visualize_instance(self.dt, instance_translated)
- self.network = [dbc.Row(dash_interactive_graphviz.DashInteractiveGraphviz(
+ self.network = html.Div([dash_interactive_graphviz.DashInteractiveGraphviz(
dot_source=dot_source, style = {"width": "50%",
"height": "80%",
"background-color": "transparent"}
- ))]
+ )])
#Creating a clean and nice text component
+ #instance plotting
+ self.explanation.append(html.H4("Instance : \n"))
+ self.explanation.append(html.P(str([str(instance[i]) for i in range (len(instance))])))
for k in explanation.keys() :
if k != "List of path explanation(s)":
if k in ["List of abductive explanation(s)","List of contrastive explanation(s)"] :
@@ -140,8 +152,8 @@ class DecisionTreeComponent():
def draw_explanation(self, instance, expl) :
instance = self.translate_instance(instance)
dot_source = visualize_expl(self.dt, instance, expl)
- self.network = [dbc.Row(dash_interactive_graphviz.DashInteractiveGraphviz(
+ self.network = html.Div([dash_interactive_graphviz.DashInteractiveGraphviz(
dot_source=dot_source,
style = {"width": "50%",
"height": "80%",
- "background-color": "transparent"}))]
+ "background-color": "transparent"})])
diff --git a/pages/application/DecisionTree/utils/data.py b/pages/application/DecisionTree/utils/data.py
index d23ddb6..91aded5 100644
--- a/pages/application/DecisionTree/utils/data.py
+++ b/pages/application/DecisionTree/utils/data.py
@@ -13,17 +13,13 @@
from __future__ import print_function
import collections
import itertools
-import os, pickle
+import pickle
import six
import gzip
from six.moves import range
import numpy as np
import pandas as pd
-#from sklearn.preprocessing import OneHotEncoder
-from sklearn.model_selection import train_test_split
-
-
#
#==============================================================================
class Data(object):
diff --git a/pages/application/DecisionTree/utils/dtree.py b/pages/application/DecisionTree/utils/dtree.py
index 1e7e270..1eb9de3 100644
--- a/pages/application/DecisionTree/utils/dtree.py
+++ b/pages/application/DecisionTree/utils/dtree.py
@@ -45,7 +45,7 @@ class DecisionTree():
Simple decision tree class.
"""
- def __init__(self, from_dt=None, mapfile=None, verbose=0):
+ def __init__(self, from_dt=None, mapfile=None, feature_names=None, verbose=0):
"""
Constructor.
"""
@@ -62,6 +62,7 @@ class DecisionTree():
self.feids = {}
self.fdoms = {}
self.fvmap = {}
+ self.feature_names = {f'f{i}' : feature_names[i] for i, f in enumerate(feature_names)}
# OHE mapping
OHEMap = collections.namedtuple('OHEMap', ['dir', 'opp'])
@@ -145,7 +146,6 @@ class DecisionTree():
"""
Parse feature-value mapping from a file.
"""
-
self.fvmap = {}
lines = mapfile.split('\n')
@@ -184,7 +184,6 @@ class DecisionTree():
"""
Convert ITI trees with '!=' edges to multi-edges.
"""
-
# new feature domains
fdoms = collections.defaultdict(lambda: [])
@@ -227,7 +226,6 @@ class DecisionTree():
"""
Traverse the tree and extract explicit paths.
"""
-
if root in self.terms:
# store the path
term = self.terms[root]
@@ -242,7 +240,6 @@ class DecisionTree():
"""
Run the tree and obtain the prediction given an input instance.
"""
-
root = self.root_node
depth = 0
path = []
@@ -297,7 +294,6 @@ class DecisionTree():
Hitting set based encoding of the problem.
(currently not incremental -- should be fixed later)
"""
-
sets = []
for t, paths in self.paths.items():
# ignoring the right class
@@ -334,12 +330,9 @@ class DecisionTree():
"""
#contaiins all the elements for explanation
explanation_dic = {}
- #instance plotting
- explanation_dic["Instance : "] = str([str(inst[i]) for i in range (len(inst))])
self.feids = {f'f{i}': i for i, f in enumerate(inst)}
inst = [(f'f{i}', int(inst[i][1])) for i,f in enumerate(inst)]
-
path, term, depth = self.execute(inst, pathlits)
#decision path
@@ -347,10 +340,8 @@ class DecisionTree():
explanation_dic["Decision path of instance : "] = decision_path_str
explanation_dic["Decision path length : "] = 'Path length is :'+ str(depth)
-
if self.ohmap.dir:
f2v = {fv[0]: fv[1] for fv in inst}
-
# updating fvmap for printing ohe features
for fo, fis in self.ohmap.dir.items():
self.fvmap[tuple([fo, None])] = '(' + ' AND '.join([self.fvmap[tuple([fi, f2v[fi]])] for fi in fis]) + ')'
@@ -394,7 +385,6 @@ class DecisionTree():
"""
Enumerate contrastive explanations.
"""
-
def process_set(done, target):
for s in done:
if s <= target:
diff --git a/pages/application/DecisionTree/utils/dtviz.py b/pages/application/DecisionTree/utils/dtviz.py
index 0c940c6..21ea639 100755
--- a/pages/application/DecisionTree/utils/dtviz.py
+++ b/pages/application/DecisionTree/utils/dtviz.py
@@ -10,16 +10,14 @@
#
#==============================================================================
-from pages.application.DecisionTree.utils.dtree import DecisionTree
import getopt
-import os
import pygraphviz
-import sys
#
#==============================================================================
def create_legend(g):
legend = g.subgraphs()[-1]
+ legend.graph_attr.update(size="2,2")
legend.add_node("a", style = "invis")
legend.add_node("b", style = "invis")
legend.add_node("c", style = "invis")
@@ -50,7 +48,7 @@ def visualize(dt):
# non-terminal nodes
for n in dt.nodes:
- g.add_node(n, label=dt.nodes[n].feat)
+ g.add_node(n, label=dt.feature_names[dt.nodes[n].feat])
node = g.get_node(n)
node.attr['shape'] = 'circle'
node.attr['fontsize'] = 13
@@ -98,7 +96,7 @@ def visualize_instance(dt, instance):
# non-terminal nodes
for n in dt.nodes:
- g.add_node(n, label=dt.nodes[n].feat)
+ g.add_node(n, label=dt.feature_names[dt.nodes[n].feat])
node = g.get_node(n)
node.attr['shape'] = 'circle'
node.attr['fontsize'] = 13
@@ -156,7 +154,7 @@ def visualize_expl(dt, instance, expl):
# non-terminal nodes
for n in dt.nodes:
- g.add_node(n, label=dt.nodes[n].feat)
+ g.add_node(n, label=dt.feature_names[dt.nodes[n].feat])
node = g.get_node(n)
node.attr['shape'] = 'circle'
node.attr['fontsize'] = 13
diff --git a/pages/application/DecisionTree/utils/upload_tree.py b/pages/application/DecisionTree/utils/upload_tree.py
index b3e1297..98bf190 100644
--- a/pages/application/DecisionTree/utils/upload_tree.py
+++ b/pages/application/DecisionTree/utils/upload_tree.py
@@ -14,7 +14,6 @@ from anytree import Node, RenderTree,AsciiStyle
import json
import numpy as np
import math
-import os
import six
@@ -297,8 +296,8 @@ class UploadedDecisionTree:
map += f"{len(self.intvs)}"
for f in self.intvs:
for j,t in enumerate(self.intvs[f][:-1]):
- map += f"\n{f} {j} <={t}"
- map += f"\n{f} {j+1} >{t}"
+ map += f"\n{f} {j} <={np.round(float(t),4)}"
+ map += f"\n{f} {j+1} >{np.round(float(t),4)}"
if feat_names is not None:
diff --git a/pages/application/application.py b/pages/application/application.py
index 925a1b7..db54577 100644
--- a/pages/application/application.py
+++ b/pages/application/application.py
@@ -1,5 +1,6 @@
from dash import dcc, html
import dash_bootstrap_components as dbc
+import dash_daq as daq
from pages.application.DecisionTree.DecisionTreeComponent import DecisionTreeComponent
@@ -23,6 +24,10 @@ class Model():
self.add_info = False
self.model_info = ''
+ self.enum=1
+ self.xtype = ['AXp', 'CXp']
+ self.solver="g3"
+
self.instance = ''
self.list_expls = []
@@ -47,12 +52,24 @@ class Model():
def update_pretrained_model_layout_with_info(self, model_info, model_info_filename):
self.model_info = model_info
- self.component = self.component_class(self.pretrained_model, self.model_info, model_info_filename)
+ self.component = self.component_class(self.pretrained_model, info=self.model_info, type_info=model_info_filename)
- def update_instance(self, instance, enum, xtype, solver="g3"):
+ def update_instance(self, instance):
self.instance = instance
- self.list_expls = self.component.update_with_explicability(self.instance, enum, xtype, solver)
+ self.list_expls = self.component.update_with_explicability(self.instance, self.enum, self.xtype, self.solver)
+
+ def update_enum(self, enum):
+ self.enum = enum
+ self.list_expls = self.component.update_with_explicability(self.instance, self.enum, self.xtype, self.solver)
+ def update_xtype(self, xtype):
+ self.xtype = xtype
+ self.list_expls = self.component.update_with_explicability(self.instance, self.enum, self.xtype, self.solver)
+
+ def update_solver(self, solver):
+ self.solver = solver
+ self.list_expls = self.component.update_with_explicability(self.instance, self.enum, self.xtype, self.solver)
+
def update_expl(self, expl):
self.expl = expl
self.component.draw_explanation(self.instance, expl)
@@ -62,17 +79,18 @@ class View():
def __init__(self, model):
self.model = model
- self.ml_menu_models = dcc.Dropdown(self.model.ml_models,
+ self.ml_menu_models = html.Div([
+ html.Br(),
+ html.Label("Choose the Machine Learning algorithm :"),
+ html.Br(),
+ dcc.Dropdown(self.model.ml_models,
id='ml_model_choice',
- className="sidebar-dropdown")
-
- self.ml_library_used = dcc.Dropdown(options = [{'label': 'Scikit-learn ', 'value': "SKL"},
- {'label': 'ITI', 'value': "ITI"},
- {'label': 'IAI', 'value': "IAI"}],
- id='ml_library_choice',
- className="sidebar-dropdown")
+ className="dropdown")])
self.pretrained_model_upload = html.Div([
+ html.Hr(),
+ html.Label("Choose the pretrained model : "),
+ html.Br(),
dcc.Upload(
id='ml_pretrained_model_choice',
children=html.Div([
@@ -83,15 +101,20 @@ class View():
),
html.Div(id='pretrained_model_filename')])
- self.add_model_info_choice = dcc.RadioItems(id="add_info_model_choice",
- options = [{'label': 'Yes ', 'value': 1},
- {'label': 'No', 'value': 0}],
- value=0, className="sidebar-dropdown")
+ self.add_model_info_choice = html.Div([
+ html.Hr(),
+ html.Label("Do you wish to upload more info for your model ? : "),
+ html.Br(),
+ daq.BooleanSwitch(id='add_info_model_choice', on=False, color="#000000",)])
- self.model_info = html.Div([
+ self.model_info = html.Div(id="choice_info_div",
+ hidden=True,
+ children=[
+ html.Hr(),
+ html.Label("Choose the pretrained model dataset (csv) or feature definition file (txt): "),
+ html.Br(),
dcc.Upload(
id='model_info_choice',
- disabled=True,
children=html.Div([
'Drag and Drop or ',
html.A('Select File')
@@ -101,6 +124,9 @@ class View():
html.Div(id='info_filename')])
self.instance_upload = html.Div([
+ html.Hr(),
+ html.Label("Choose the instance to explain : "),
+ html.Br(),
dcc.Upload(
id='ml_instance_choice',
children=html.Div([
@@ -111,34 +137,7 @@ class View():
),
html.Div(id='instance_filename')])
- self.sidebar = dcc.Tabs(children=[
- dcc.Tab(label='Basic Parameters', children = [
- html.Br(),
- html.Label("Choose the Machine Learning algorithm :"),
- html.Br(),
- self.ml_menu_models,
- html.Hr(),
- html.Label("Choose the Machine Learning library used :"),
- html.Br(),
- self.ml_library_used,
- html.Hr(),
- html.Label("Choose the pretrained model : "),
- html.Br(),
- self.pretrained_model_upload,
- html.Hr(),
- html.Label("Do you wish to upload more info for your model ? : "),
- html.Br(),
- self.add_model_info_choice,
- html.Hr(),
- html.Label("Choose the pretrained model dataset (csv) or feature definition file (txt): "),
- html.Br(),
- self.model_info,
- html.Hr(),
- html.Label("Choose the instance to explain : "),
- html.Br(),
- self.instance_upload], className="sidebar"),
- dcc.Tab(label='Advanced Parameters', children = [
- html.Br(),
+ self.num_explanation = html.Div([
html.Label("Choose the number of explanations : "),
html.Br(),
dcc.Input(
@@ -146,29 +145,48 @@ class View():
value=1,
type="number",
placeholder="How many explanations ?",
- className="sidebar-dropdown"),
- html.Hr(),
+ className="dropdown"),
+ html.Hr()])
+
+ self.type_explanation = html.Div([
html.Label("Choose the kind of explanation : "),
html.Br(),
dcc.Checklist(
id="explanation_type",
options={'AXp' : "Abductive Explanation", 'CXp': "Contrastive explanation"},
value = ['AXp', 'CXp'],
- className="sidebar-dropdown",
+ className="check-boxes",
inline=True),
- html.Hr(),
- html.Label("Choose the SAT solver : "),
+ html.Hr()])
+
+ self.solver = html.Div([ html.Label("Choose the SAT solver : "),
+ html.Br(),
+ dcc.Dropdown(['g3', 'g4', 'lgl', 'mcb', 'mcm', 'mpl', 'm22', 'mc', 'mgh'], 'g3', id='solver_sat') ])
+
+ self.sidebar = dcc.Tabs(children=[
+ dcc.Tab(label='Basic Parameters', children = [
+ self.ml_menu_models,
+ self.pretrained_model_upload,
+ self.add_model_info_choice,
+ self.model_info,
+ self.instance_upload], className="sidebar"),
+ dcc.Tab(label='Advanced Parameters', children = [
html.Br(),
- dcc.Dropdown(['g3', 'g4', 'lgl', 'mcb', 'mcm', 'mpl', 'm22', 'mc', 'mgh'], 'g3', id='solver_sat')
+ self.num_explanation,
+ self.type_explanation,
+ self.solver
], className="sidebar")])
- self.expl_choice = dcc.Dropdown(self.model.list_expls,
+ self.expl_choice = html.Div([html.H5(id = "navigate_label", hidden=True, children="Navigate through the explanations and plot them on the tree : "),
+ html.Div(id='navigate_dropdown', hidden=True,
+ children = [dcc.Dropdown(self.model.list_expls,
id='expl_choice',
- className="dropdown")
+ className="dropdown")])])
- self.layout = dbc.Row([ dbc.Col([self.sidebar], width=3, class_name="sidebar"),
+ self.layout = dbc.Row([ dbc.Col([self.sidebar],
+ width=3, class_name="sidebar"),
dbc.Col([dbc.Row(id = "graph", children=[]),
- dbc.Row(html.Div([html.H5(id = "navigate_label", hidden=True, children="Navigate through the explanations and plot them on the tree : "),
- html.Div(self.expl_choice, id='navigate_dropdown', hidden=True)]))], width=5, class_name="column_graph"),
+ dbc.Row(self.expl_choice)],
+ width=5, class_name="column_graph"),
dbc.Col(html.Main(id = "explanation", children=[], hidden=True), width=4)])
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index aab2fca..4f70ae6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -11,5 +11,6 @@ scipy>=1.2.1
dash_bootstrap_components
dash_interactive_graphviz
python-sat[pblib,aiger]
-pygraphviz
-anytree
\ No newline at end of file
+pygraphviz==1.9
+anytree==2.8.0
+dash_daq==0.5.0
\ No newline at end of file
diff --git a/tests/adult/adult.pkl b/tests/adult/adult.pkl
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diff --git a/tests/adult/adult_2.pkl b/tests/adult/adult_2.pkl
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diff --git a/tests/adult/adult_3.pkl b/tests/adult/adult_3.pkl
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diff --git a/tests/adult/adult_data_00000.inst b/tests/adult/adult_data_00000.inst
new file mode 100644
index 0000000..c72f4e9
--- /dev/null
+++ b/tests/adult/adult_data_00000.inst
@@ -0,0 +1 @@
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\ No newline at end of file
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literal 0
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diff --git a/tests/iris/iris.csv b/tests/iris/iris.csv
new file mode 100644
index 0000000..1b9d029
--- /dev/null
+++ b/tests/iris/iris.csv
@@ -0,0 +1,151 @@
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+4.9,3,1.4,.2,"Setosa"
+4.7,3.2,1.3,.2,"Setosa"
+4.6,3.1,1.5,.2,"Setosa"
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+6.8,2.8,4.8,1.4,"Versicolor"
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+6,2.7,5.1,1.6,"Versicolor"
+5.4,3,4.5,1.5,"Versicolor"
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+6.7,3.1,4.7,1.5,"Versicolor"
+6.3,2.3,4.4,1.3,"Versicolor"
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+5.5,2.5,4,1.3,"Versicolor"
+5.5,2.6,4.4,1.2,"Versicolor"
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+5.8,2.6,4,1.2,"Versicolor"
+5,2.3,3.3,1,"Versicolor"
+5.6,2.7,4.2,1.3,"Versicolor"
+5.7,3,4.2,1.2,"Versicolor"
+5.7,2.9,4.2,1.3,"Versicolor"
+6.2,2.9,4.3,1.3,"Versicolor"
+5.1,2.5,3,1.1,"Versicolor"
+5.7,2.8,4.1,1.3,"Versicolor"
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+5.8,2.7,5.1,1.9,"Virginica"
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+6.3,2.9,5.6,1.8,"Virginica"
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+7.9,3.8,6.4,2,"Virginica"
+6.4,2.8,5.6,2.2,"Virginica"
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+7.7,3,6.1,2.3,"Virginica"
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+6.8,3.2,5.9,2.3,"Virginica"
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+6.5,3,5.2,2,"Virginica"
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\ No newline at end of file
diff --git a/tests/iris/iris.pkl b/tests/iris/iris.pkl
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literal 0
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diff --git a/tests/iris/iris.txt b/tests/iris/iris.txt
new file mode 100644
index 0000000..d356f5d
--- /dev/null
+++ b/tests/iris/iris.txt
@@ -0,0 +1,4 @@
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\ No newline at end of file
diff --git a/tests/iris/iris01.json b/tests/iris/iris01.json
new file mode 100644
index 0000000..59c0840
--- /dev/null
+++ b/tests/iris/iris01.json
@@ -0,0 +1,4 @@
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diff --git a/tests/iris/iris2.pkl b/tests/iris/iris2.pkl
new file mode 100644
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diff --git a/tests/iris/iris_00000.txt b/tests/iris/iris_00000.txt
new file mode 100644
index 0000000..108004d
--- /dev/null
+++ b/tests/iris/iris_00000.txt
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/tests/zoo/inst/zoo_00.inst b/tests/zoo/inst/zoo_00.inst
new file mode 100644
index 0000000..8d6abc5
--- /dev/null
+++ b/tests/zoo/inst/zoo_00.inst
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/tests/zoo/inst/zoo_01.inst b/tests/zoo/inst/zoo_01.inst
new file mode 100644
index 0000000..4a6df51
--- /dev/null
+++ b/tests/zoo/inst/zoo_01.inst
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/tests/zoo/inst/zoo_02.inst b/tests/zoo/inst/zoo_02.inst
new file mode 100644
index 0000000..d72c0ae
--- /dev/null
+++ b/tests/zoo/inst/zoo_02.inst
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/tests/zoo/inst/zoo_11.inst b/tests/zoo/inst/zoo_11.inst
new file mode 100644
index 0000000..0fa9d7c
--- /dev/null
+++ b/tests/zoo/inst/zoo_11.inst
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/tests/zoo/zoo.csv b/tests/zoo/zoo.csv
new file mode 100644
index 0000000..7eb9774
--- /dev/null
+++ b/tests/zoo/zoo.csv
@@ -0,0 +1,102 @@
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\ No newline at end of file
diff --git a/tests/zoo/zoo.dt b/tests/zoo/zoo.dt
new file mode 100644
index 0000000..a1ee642
--- /dev/null
+++ b/tests/zoo/zoo.dt
@@ -0,0 +1,85 @@
+41
+1
+I 1 2 3 6 9 10 12 14 17 18 20 21 22 24 28 30 33 35 37 38
+T 4 5 7 8 11 13 15 16 19 23 25 26 27 29 31 32 34 36 39 40 41
+4 T bug
+5 T mammal
+7 T bird
+8 T bug
+11 T mammal
+13 T fish
+15 T bird
+16 T reptile
+19 T mammal
+23 T reptile
+25 T reptile
+26 T bird
+27 T fish
+29 T amphibian
+31 T amphibian
+32 T reptile
+34 T invertebrate
+36 T invertebrate
+39 T invertebrate
+40 T bug
+41 T invertebrate
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+1 f4 1 9
+2 f0 0 3
+2 f0 1 6
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diff --git a/tests/zoo/zoo.json b/tests/zoo/zoo.json
new file mode 100644
index 0000000..506568b
--- /dev/null
+++ b/tests/zoo/zoo.json
@@ -0,0 +1,18 @@
+{
+"hair":1,
+"feathers":0,
+"eggs":0,
+"milk":1,
+"airborne":0,
+"aquatic":0,
+"predator":0,
+"toothed":1,
+"backbone":1,
+"breathes":1,
+"venomous":0,
+"fins":0,
+"legs":6,
+"tail":1,
+"domestic":0,
+"catsize":1
+}
diff --git a/tests/zoo/zoo.map b/tests/zoo/zoo.map
new file mode 100644
index 0000000..89838b1
--- /dev/null
+++ b/tests/zoo/zoo.map
@@ -0,0 +1,38 @@
+Categorical
+16
+f0 0 =1
+f0 1 =0
+f1 0 =1
+f1 1 =0
+f2 0 =1
+f2 1 =0
+f3 0 =1
+f3 1 =0
+f4 0 =1
+f4 1 =0
+f5 0 =1
+f5 1 =0
+f6 0 =1
+f6 1 =0
+f7 0 =1
+f7 1 =0
+f8 0 =1
+f8 1 =0
+f9 0 =1
+f9 1 =0
+f10 0 =1
+f10 1 =0
+f11 0 =1
+f11 1 =0
+f12 1 =2
+f12 3 =6
+f12 5 =5
+f12 7 =8
+f12 9 =0
+f12 11 =4
+f13 0 =1
+f13 1 =0
+f14 0 =1
+f14 1 =0
+f15 0 =1
+f15 1 =0
diff --git a/tests/zoo/zoo.pkl b/tests/zoo/zoo.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..edfd6540dd861d1260292b0bce1efe6d6a809461
GIT binary patch
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diff --git a/utils.py b/utils.py
index b342910..42b30c9 100644
--- a/utils.py
+++ b/utils.py
@@ -2,6 +2,7 @@ import base64
import io
import pickle
import joblib
+import json
import numpy as np
from dash import html
@@ -43,14 +44,16 @@ def parse_contents_instance(contents, filename):
try:
if '.csv' in filename:
data = decoded.decode('utf-8')
+ data = str(data).strip().split(',')
+ data = list(map(lambda i: tuple([i[0], np.float32(i[1])]), [i.split('=') for i in data]))
elif '.txt' in filename:
- data = decoded.decode('utf-8')
- elif '.json' in filename:
data = decoded.decode('utf-8')
- else :
+ data = str(data).strip().split(',')
+ data = list(map(lambda i: tuple([i[0], np.float32(i[1])]), [i.split('=') for i in data]))
+ elif '.json' in filename:
data = decoded.decode('utf-8')
- data = str(data).strip().split(',')
- data = list(map(lambda i: tuple([i[0], np.float32(i[1])]), [i.split('=') for i in data]))
+ data = json.loads(data)
+ data = list(tuple(data.items()))
except Exception as e:
print(e)
return html.Div([
--
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