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"description": "Set the DataFrame index using existing columns.",
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"classifiers": {
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"type": "helper",
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"subtype": "fitting"
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},
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"modalities": [],
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"primitive": "pandas.DataFrame.set_index",
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"produce": {
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"args": [
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{
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"name": "X",
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"keyword": "self",
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"type": "pandas.DataFrame"
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},
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{
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"name": "keys",
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"type": "label or array-like or list of labels/arrays"
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}
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],
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"output": [
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{
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"name": "X",
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"type": "pandas.DataFrame"
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}
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]
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},
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"hyperparameters": {
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"fixed": {
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"drop": {
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"type": "bool",
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"default": true,
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"description": "Delete columns to be used as the new index."
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},
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"append": {
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"type": "bool",
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"default": false,
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"description": "Whether to append columns to existing index."
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},
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"inplace": {
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"type": "bool",
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"default": false,
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"description": "Modify the DataFrame in place (do not create a new object)."
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},
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"verify_integrity": {
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"type": "bool",
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"default": false,
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"description": "Check the new index for duplicates. Otherwise defer the check until necessary. Setting to False will improve the performance of this method."
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