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Darius Morawiec
committed
Add new templates, examples and tests
1 parent abd0f8b commit 9979a94

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-3930
lines changed

‎examples/estimator/classifier/AdaBoostClassifier/java/basics_embedded.ipynb

+57-31
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@@ -92,36 +92,10 @@
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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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"execution_count": 5,
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"CPU times: user 2.34 ms, sys: 2.05 ms, total: 4.39 ms\n",
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"Wall time: 2.96 ms\n"
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]
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}
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],
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"source": [
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"%%time\n",
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"\n",
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"from sklearn_porter import Porter\n",
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"\n",
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"porter = Porter(clf)\n",
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"output = porter.export()\n",
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"\n",
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"with open('AdaBoostClassifier.java', 'w') as f:\n",
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" f.write(output)"
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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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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
@@ -386,14 +360,21 @@
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" }\n",
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" }\n",
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"\n",
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"}"
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"}\n",
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"CPU times: user 3.13 ms, sys: 2.24 ms, total: 5.37 ms\n",
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"Wall time: 3.6 ms\n"
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]
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}
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],
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"source": [
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"%%bash\n",
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"%%time\n",
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"\n",
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"cat AdaBoostClassifier.java"
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"from sklearn_porter import Porter\n",
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"\n",
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"porter = Porter(clf)\n",
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"output = porter.export()\n",
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"\n",
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"print(output)"
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]
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},
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{
@@ -403,9 +384,55 @@
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"### Run classification in Java:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Save the estimator:"
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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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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"with open('AdaBoostClassifier.java', 'w') as f:\n",
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" f.write(output)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Compiling:"
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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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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"%%bash\n",
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"\n",
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"javac -cp . AdaBoostClassifier.java"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Prediction:"
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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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"metadata": {},
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"outputs": [
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{
@@ -419,7 +446,6 @@
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"source": [
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"%%bash\n",
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"\n",
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"javac -cp . AdaBoostClassifier.java\n",
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"java AdaBoostClassifier 1 2 3 4"
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]
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}

‎examples/estimator/classifier/AdaBoostClassifier/java/basics_embedded.py

+1-1
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@@ -16,7 +16,7 @@
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clf.fit(X, y)
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porter = Porter(clf)
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output = porter.export()
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output = porter.export(embed_data=True)
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print(output)
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"""

‎examples/estimator/classifier/AdaBoostClassifier/java/basics_imported.ipynb

+64-66
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@@ -92,43 +92,10 @@
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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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"execution_count": 4,
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"CPU times: user 2.34 ms, sys: 1.87 ms, total: 4.21 ms\n",
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"Wall time: 2.76 ms\n"
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]
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}
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],
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"source": [
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"%%time\n",
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"\n",
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"from sklearn_porter import Porter\n",
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"\n",
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"porter = Porter(clf)\n",
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"output = porter.export(export_data=True)\n",
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"\n",
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"with open('AdaBoostClassifier.java', 'w') as f:\n",
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" f.write(output)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Classifier:"
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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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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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" // Parameters:\n",
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" String modelData = args[0];\n",
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"\n",
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" // Estimators:\n",
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" // Estimator:\n",
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" AdaBoostClassifier clf = new AdaBoostClassifier(modelData);\n",
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"\n",
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" // Prediction:\n",
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"\n",
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" }\n",
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" }\n",
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"}"
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"}\n",
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"CPU times: user 1.73 ms, sys: 1.43 ms, total: 3.16 ms\n",
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"Wall time: 2.12 ms\n"
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]
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}
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],
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"source": [
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"%%bash\n",
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"%%time\n",
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"\n",
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"from sklearn_porter import Porter\n",
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"\n",
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"porter = Porter(clf)\n",
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"output = porter.export(export_data=True)\n",
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"\n",
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"cat AdaBoostClassifier.java"
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"print(output)"
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]
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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": 7,
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"File size:"
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"### Run classification in Java:"
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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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"cell_type": "markdown",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"4.0K\tdata.json\n"
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]
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}
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],
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"source": [
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"%%bash\n",
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"\n",
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"du -h data.json"
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"Save the estimator:"
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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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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"with open('AdaBoostClassifier.java', 'w') as f:\n",
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" f.write(output)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Run classification in Java:"
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"Download dependencies:"
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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": 9,
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"--2017-11-24 00:59:42-- http://central.maven.org/maven2/com/google/code/gson/gson/2.8.2/gson-2.8.2.jar\n",
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"--2017-11-26 22:27:24-- http://central.maven.org/maven2/com/google/code/gson/gson/2.8.2/gson-2.8.2.jar\n",
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"Resolving central.maven.org... 151.101.36.209\n",
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"Connecting to central.maven.org|151.101.36.209|:80... connected.\n",
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"HTTP request sent, awaiting response... 200 OK\n",
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"Length: 232932 (227K) [application/java-archive]\n",
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"Saving to: 'gson-2.8.2.jar'\n",
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"Saving to: 'gson-2.8.2.jar.1'\n",
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"\n",
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" 0K .......... .......... .......... .......... .......... 21% 1.78M 0s\n",
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" 50K .......... .......... .......... .......... .......... 43% 4.10M 0s\n",
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" 100K .......... .......... .......... .......... .......... 65% 3.36M 0s\n",
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" 150K .......... .......... .......... .......... .......... 87% 132M 0s\n",
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" 200K .......... .......... ....... 100% 32.6M=0.06s\n",
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" 0K .......... .......... .......... .......... .......... 21% 1.55M 0s\n",
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" 50K .......... .......... .......... .......... .......... 43% 4.48M 0s\n",
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" 150K .......... .......... .......... .......... .......... 87% 6.72M 0s\n",
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" 200K .......... .......... ....... 100% 6.03M=0.06s\n",
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"\n",
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"2017-11-24 00:59:42 (4.04 MB/s) - 'gson-2.8.2.jar' saved [232932/232932]\n",
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"2017-11-26 22:27:24 (3.60 MB/s) - 'gson-2.8.2.jar.1' saved [232932/232932]\n",
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"\n"
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]
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}
@@ -353,9 +327,34 @@
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"wget http://central.maven.org/maven2/com/google/code/gson/gson/2.8.2/gson-2.8.2.jar"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Compiling:"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"%%bash\n",
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"\n",
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"javac -cp .:gson-2.8.2.jar AdaBoostClassifier.java"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Prediction:"
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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": 10,
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"source": [
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"%%bash\n",
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"\n",
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"javac -cp .:gson-2.8.2.jar AdaBoostClassifier.java\n",
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"java -cp .:gson-2.8.2.jar AdaBoostClassifier data.json 1 2 3 4"
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]
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}

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