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Merge pull request #27 from vincent-laurent/dev/global-logger
[DEV] small fix
2 parents d170f5e + eedc6b0 commit 0450638

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-785
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‎.coveragerc‎

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raise NotImplementedError
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ImportError
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pass
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# Don't complain if non-runnable code isn't run:
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if 0:
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if __name__ == .__main__.:

‎.github/workflows/pytest.yml‎

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coverage report
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coverage json
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# - name: Coverage Badge
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# uses: tj-actions/[email protected]
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# with:
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# output: .static/coverage.svg
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# - name: Publish coverage report to coverage-badge branch
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# uses: JamesIves/github-pages-deploy-action@v4
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# with:
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# branch: coverage-badge
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# folder: .static
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- name: Coverage Badge
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uses: tj-actions/[email protected]
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with:
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output: .static/coverage.svg
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- name: Publish coverage report to coverage-badge branch
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uses: JamesIves/github-pages-deploy-action@v4
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with:
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branch: coverage-badge
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folder: .static

‎.gitignore‎

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# mlflow
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*mlruns*
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*mlartifacts*
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*__pycache__*
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.idea/
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.ipynb_checkpoints/
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.pkl
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‎examples/classification.ipynb‎

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‎examples/classification_threshold.ipynb‎

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‎examples/deepcheck.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "initial_id",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-15T12:54:35.753589Z",
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"start_time": "2024-01-15T12:54:35.750257Z"
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}
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},
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"outputs": [],
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"source": [
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"%%capture\n",
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"cd .."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "13f6945fd3b104a7",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-15T12:54:39.118554Z",
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"start_time": "2024-01-15T12:54:35.754737Z"
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}
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},
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"outputs": [],
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"source": [
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"%%capture\n",
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"import pandas as pd\n",
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"from tempfile import gettempdir\n",
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"\n",
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"from sklearn import model_selection\n",
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"from palma.datasets import load_credit_approval\n",
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"from palma import Project, ModelSelector\n",
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"from palma.components import DeepCheck, FileSystemLogger, Leakage\n",
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"from palma import set_logger\n",
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"\n",
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"# set_logger(FileSystemLogger(f'{gettempdir()}/fs-logger'))\n",
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"\n",
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"X, y = load_credit_approval()\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "c8753b3c",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-15T12:54:52.510171Z",
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"start_time": "2024-01-15T12:54:39.123512Z"
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}
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},
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"outputs": [],
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"source": [
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"%%capture\n",
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"project = Project(problem=\"classification\", project_name=\"test\")\n",
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"project.add(DeepCheck())\n",
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"project.add(Leakage())\n",
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"project.start(\n",
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" X, y,\n",
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" splitter=model_selection.ShuffleSplit(\n",
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" n_splits=10, random_state=42)\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "af750aaa1ad437d9",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-15T12:54:57.536949Z",
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"start_time": "2024-01-15T12:54:52.511725Z"
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}
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},
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"outputs": [],
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"source": [
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"model = ModelSelector(engine=\"FlamlOptimizer\",\n",
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" engine_parameters=dict(time_budget=5))\n",
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"model.start(project)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "63f097fa57aed229",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-15T12:54:57.545479Z",
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"start_time": "2024-01-15T12:54:57.543230Z"
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}
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},
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"outputs": [],
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"source": [
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"checker = project.components[\"DeepCheck\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "c53c5e4b0367c945",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-15T12:54:57.803874Z",
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"start_time": "2024-01-15T12:54:57.546706Z"
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}
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},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "300a6e5f1c654cca8168d694332e9186",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Accordion(children=(VBox(children=(HTML(value='\\n<h1 id=\"summary_CD829DTZWSNJIRWNWAMFPGB2D\">Checks on train an…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"checker.train_test_checks_results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "95998b6bac06baaf",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-15T12:54:57.925889Z",
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"start_time": "2024-01-15T12:54:57.805250Z"
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}
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},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "4cc6b337a1a14c49b2eb53cce9f23ead",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Accordion(children=(VBox(children=(HTML(value='\\n<h1 id=\"summary_AF8AUIK6P7ETIR1CBXAG3D2F1\">Checks on whole da…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"checker.dataset_checks_results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "bf606df8",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-01-15T12:54:58.053511Z",
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"start_time": "2024-01-15T12:54:57.927114Z"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'leakage': False, 'metric': 0.387037037037037}"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"project.components[\"Leakage\"].metrics"
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]
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}
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],
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"metadata": {
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"hide_input": false,
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": true,
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"sideBar": true,
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"skip_h1_title": false,
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"title_cell": "Table of Contents",
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"title_sidebar": "Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": true,
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"toc_window_display": false
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},
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"varInspector": {
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"cols": {
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"lenName": 16,
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"lenType": 16,
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"lenVar": 40
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},
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"kernels_config": {
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"python": {
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"delete_cmd_postfix": "",
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"delete_cmd_prefix": "del ",
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"library": "var_list.py",
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"varRefreshCmd": "print(var_dic_list())"
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},
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"r": {
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"delete_cmd_postfix": ") ",
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"delete_cmd_prefix": "rm(",
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"library": "var_list.r",
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"varRefreshCmd": "cat(var_dic_list()) "
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}
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},
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"types_to_exclude": [
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"module",
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"function",
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"builtin_function_or_method",
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"instance",
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"_Feature"
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],
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"window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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