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" max_concurrent_iterations = 2, #change it based on number of worker nodes\n",
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" verbosity = logging.INFO,\n",
@@ -349,8 +351,7 @@
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"source": [
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"## Train the Models\n",
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"\n",
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"Call the `submit` method on the experiment object and pass the run configuration. Execution of local runs is synchronous. Depending on the data and the number of iterations this can run for a while.\n",
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"In this example, we specify `show_output = True` to print currently running iterations to the console."
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"Call the `submit` method on the experiment object and pass the run configuration. Execution of local runs is synchronous. Depending on the data and the number of iterations this can run for a while."
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]
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},
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{
@@ -359,7 +360,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"local_run = experiment.submit(automl_config, show_output = True) # for higher runs please use show_output=False and use the below"
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"local_run = experiment.submit(automl_config, show_output = False) # for higher runs please use show_output=False and use the below"
" max_concurrent_iterations = 4, #change it based on number of worker nodes\n",
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" iterations = 30,\n",
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" preprocess = True,\n",
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" n_cross_validations = 10,\n",
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" max_concurrent_iterations = 2, #change it based on number of worker nodes\n",
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" verbosity = logging.INFO,\n",
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" spark_context=sc, #databricks/spark related\n",
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" X = X_train, \n",
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" y = y_train,\n",
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" enable_cache=False,\n",
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" path = project_folder)"
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]
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},
@@ -356,8 +374,7 @@
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"source": [
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"## Train the Models\n",
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"\n",
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"Call the `submit` method on the experiment object and pass the run configuration. Execution of local runs is synchronous. Depending on the data and the number of iterations this can run for a while.\n",
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-
"In this example, we specify `show_output = True` to print currently running iterations to the console."
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"Call the `submit` method on the experiment object and pass the run configuration. Execution of local runs is synchronous. Depending on the data and the number of iterations this can run for a while."
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]
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},
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{
@@ -366,7 +383,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"local_run = experiment.submit(automl_config, show_output = True) # for higher runs please use show_output=False and use the below"
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"local_run = experiment.submit(automl_config, show_output = False) # for higher runs please use show_output=False and use the below"
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]
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},
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{
@@ -419,6 +436,7 @@
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"metricslist = {}\n",
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"for run in children:\n",
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" properties = run.get_properties()\n",
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" #print(properties)\n",
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" metrics = {k: v for k, v in run.get_metrics().items() if isinstance(v, float)} \n",
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