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as.data.frame(<DAIFrame>)
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Convert DAIFrame to R's data.frame |
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dim(<DAIFrame>)
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Dimensions of DAIFrame |
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format(<DAIFrame>)
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Formats DAIFrame |
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format(<DAIModel>)
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Text representation of DAIModel |
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head(<DAIFrame>)
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First n Rows |
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predict(<DAIModel>)
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Predicts the target on new data |
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print(<DAIFrame>)
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Prints DAIFrame |
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print(<DAIModel>)
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Prints DAIModel |
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summary(<DAIFrame>)
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Summarises DAIFrame |
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summary(<DAIModel>)
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Summarises DAIModel |
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as.DAIFrame()
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Convert data.frame to DAIFrame |
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dai.autoreport()
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Create Autoreport |
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dai.bar_chart()
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Bar Chart |
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dai.boxplot()
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Boxplot |
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dai.connect()
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Authenticates Driverless AI Session |
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dai.create_dataset()
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Creates a dataset. |
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dai.create_dataset_from_bigquery()
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Creates BigQuery Dataset |
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dai.create_dataset_from_jdbc()
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Creates JDBC Dataset |
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dai.create_dataset_from_kdb()
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Creates KDB+ Dataset |
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dai.create_dataset_from_snowflake()
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Creates Snowflake Dataset |
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dai.create_recipe_from_url()
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Creates Recipe from URL |
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dai.distribution_plot()
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Distribution Plot |
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dai.dotplot()
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Dotplot |
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dai.download_file()
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Download File |
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dai.download_mojo()
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Download MOJO |
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dai.download_python_pipeline()
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Download Python Pipeline |
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dai.find_dataset()
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Find Dataset |
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dai.get_frame()
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Get DAIFrame |
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dai.get_model()
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Get DAIModel |
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dai.heatmap()
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Heatmap |
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dai.histogram()
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Histogram |
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dai.linear_regression_plot()
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Linear Regression Plot |
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dai.list_datasets()
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Lists the Driverless AI data sets |
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dai.list_models()
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Lists the Driverless AI models |
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dai.loess_regression_plot()
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LOESS Regression Plot |
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dai.ncol()
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Number of columns |
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dai.nrow()
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Number of Rows |
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dai.parallel_coordinates_plot()
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Parallel Coordinates Plot |
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dai.preview_experiment()
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Preview Experiment |
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dai.rm()
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Removes Driverless AI Objects |
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dai.scatterplot()
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Scatterplot |
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dai.set_model_desc()
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Set Model Description |
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dai.split_dataset()
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Split Dataset |
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dai.suggest_model_params()
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Suggests Model Parameters |
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dai.to_csv()
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Convert DAIFrame to CSV File |
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dai.train()
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Builds a Driverless AI model |
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dai.transform()
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Feature-transforms Dataset |
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dai.upload_dataset()
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Uploads Dataset to Driverless AI |
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dai.upload_recipe()
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Uploads Custom Recipe |
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dai.version()
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Driverless.ai version |
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is.DAIFrame()
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Is DAIFrame? |
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is.DAIModel()
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Is DAIModel? |