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Add tool and default ipynb file
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@@ -0,0 +1,49 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "uniform-equivalent",
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"metadata": {},
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"source": [
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"# Welcome to the interactive Galaxy IPython Notebook for Machine Learning."
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]
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},
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{
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"cell_type": "markdown",
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"id": "attended-evolution",
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"metadata": {},
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"source": [
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"More help and informations can be found on the project [website](https://github.com/anuprulez/ml-jupyter-notebook)."
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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": null,
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"id": "excited-composer",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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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": "3.8.6"
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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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@@ -1,6 +1,6 @@
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<tool id="interactive_ml_tool_jupyter_notebook" tool_type="interactive" name="Interactive Machine Learning Jupyter Notebook" version="0.1">
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<requirements>
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<container type="docker">docker.io/anupkumar/sample-docker-ml-jupyter</container>
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<container type="docker">docker.io/anupkumar/sample-docker-ml-jupyter:latest</container>
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</requirements>
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<entry_points>
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<entry_point name="Jupyter Interactive Tool" requires_domain="True">
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@@ -30,8 +30,8 @@
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export PATH=/home/jovyan/.local/bin:\$PATH &&
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#if $mode.mode_select == 'scratch':
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## copy default notebook
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cp '$__tool_directory__/default_notebook.ipynb' ./ipython_galaxy_notebook.ipynb &&
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## copy default notebook ml
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cp '$__tool_directory__/default_notebook_ml.ipynb' ./ipython_galaxy_notebook.ipynb &&
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jupyter trust ./ipython_galaxy_notebook.ipynb &&
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jupyter lab --allow-root --no-browser --NotebookApp.shutdown_button=True &&
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cp ./ipython_galaxy_notebook.ipynb '$jupyter_notebook'
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