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    "all_nominal",
    "all_numeric",
    "as_array_iterator",
    "as_iterator",
    "as_tensor",
    "as_tf_dataset",
    "choose_from_datasets",
    "contains",
    "csv_record_spec",
    "dataset_batch",
    "dataset_bucket_by_sequence_length",
    "dataset_cache",
    "dataset_collect",
    "dataset_concatenate",
    "dataset_decode_delim",
    "dataset_enumerate",
    "dataset_filter",
    "dataset_flat_map",
    "dataset_group_by_window",
    "dataset_interleave",
    "dataset_map",
    "dataset_map_and_batch",
    "dataset_options",
    "dataset_padded_batch",
    "dataset_prefetch",
    "dataset_prefetch_to_device",
    "dataset_prepare",
    "dataset_rebatch",
    "dataset_reduce",
    "dataset_rejection_resample",
    "dataset_repeat",
    "dataset_scan",
    "dataset_shard",
    "dataset_shuffle",
    "dataset_shuffle_and_repeat",
    "dataset_skip",
    "dataset_snapshot",
    "dataset_take",
    "dataset_take_while",
    "dataset_unbatch",
    "dataset_unique",
    "dataset_use_spec",
    "dataset_window",
    "delim_record_spec",
    "dense_features",
    "ends_with",
    "everything",
    "feature_spec",
    "file_list_dataset",
    "fit",
    "fixed_length_record_dataset",
    "has_type",
    "install_tensorflow",
    "iter_next",
    "iterate",
    "iterator_get_next",
    "iterator_initializer",
    "iterator_make_initializer",
    "iterator_string_handle",
    "layer_input_from_dataset",
    "make_csv_dataset",
    "make_iterator_from_string_handle",
    "make_iterator_from_structure",
    "make_iterator_initializable",
    "make_iterator_one_shot",
    "matches",
    "next_batch",
    "num_range",
    "one_of",
    "out_of_range_handler",
    "output_shapes",
    "output_types",
    "random_integer_dataset",
    "range_dataset",
    "read_files",
    "sample_from_datasets",
    "scaler_min_max",
    "scaler_standard",
    "shape",
    "sparse_tensor_slices_dataset",
    "sql_dataset",
    "sql_record_spec",
    "sqlite_dataset",
    "starts_with",
    "step_bucketized_column",
    "step_categorical_column_with_hash_bucket",
    "step_categorical_column_with_identity",
    "step_categorical_column_with_vocabulary_file",
    "step_categorical_column_with_vocabulary_list",
    "step_crossed_column",
    "step_embedding_column",
    "step_indicator_column",
    "step_numeric_column",
    "step_remove_column",
    "step_shared_embeddings_column",
    "tensor_slices_dataset",
    "tensors_dataset",
    "text_line_dataset",
    "tf",
    "tfrecord_dataset",
    "tsv_record_spec",
    "tuple",
    "until_out_of_range",
    "with_dataset",
    "zip_datasets"
  ],
  "_datasets": [
    {
      "name": "hearts",
      "title": "Heart Disease Data Set",
      "object": "hearts",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age",
        "sex",
        "cp",
        "trestbps",
        "chol",
        "fbs",
        "restecg",
        "thalach",
        "exang",
        "oldpeak",
        "slope",
        "ca",
        "thal",
        "target"
      ],
      "rows": 303,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "all_nominal",
      "title": "Find all nominal variables.",
      "concept": [
        "Selectors"
      ],
      "topics": [
        "all_nominal"
      ]
    },
    {
      "page": "all_numeric",
      "title": "Speciy all numeric variables.",
      "concept": [
        "Selectors"
      ],
      "topics": [
        "all_numeric"
      ]
    },
    {
      "page": "as_array_iterator",
      "title": "Convert tf_dataset to an iterator that yields R arrays.",
      "topics": [
        "as_array_iterator"
      ]
    },
    {
      "page": "as_tensor.tf_dataset",
      "title": "Get the single element of the dataset.",
      "topics": [
        "as.array.tensorflow.python.data.ops.dataset_ops.DatasetV2",
        "as_tensor.tensorflow.python.data.ops.dataset_ops.DatasetV2",
        "get_single_element"
      ]
    },
    {
      "page": "choose_from_datasets",
      "title": "Creates a dataset that deterministically chooses elements from datasets.",
      "topics": [
        "choose_from_datasets"
      ]
    },
    {
      "page": "dataset_batch",
      "title": "Combines consecutive elements of this dataset into batches.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_batch"
      ]
    },
    {
      "page": "dataset_bucket_by_sequence_length",
      "title": "A transformation that buckets elements in a 'Dataset' by length",
      "topics": [
        "dataset_bucket_by_sequence_length"
      ]
    },
    {
      "page": "dataset_cache",
      "title": "Caches the elements in this dataset.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_cache"
      ]
    },
    {
      "page": "dataset_collect",
      "title": "Collects a dataset",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_collect"
      ]
    },
    {
      "page": "dataset_concatenate",
      "title": "Creates a dataset by concatenating given dataset with this dataset.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_concatenate"
      ]
    },
    {
      "page": "dataset_decode_delim",
      "title": "Transform a dataset with delimted text lines into a dataset with named columns",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_decode_delim"
      ]
    },
    {
      "page": "dataset_enumerate",
      "title": "Enumerates the elements of this dataset",
      "topics": [
        "dataset_enumerate"
      ]
    },
    {
      "page": "dataset_filter",
      "title": "Filter a dataset by a predicate",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_filter"
      ]
    },
    {
      "page": "dataset_flat_map",
      "title": "Maps map_func across this dataset and flattens the result.",
      "topics": [
        "dataset_flat_map"
      ]
    },
    {
      "page": "dataset_group_by_window",
      "title": "Group windows of elements by key and reduce them",
      "topics": [
        "dataset_group_by_window"
      ]
    },
    {
      "page": "dataset_interleave",
      "title": "Maps map_func across this dataset, and interleaves the results",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_interleave"
      ]
    },
    {
      "page": "dataset_map",
      "title": "Map a function across a dataset.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_map"
      ]
    },
    {
      "page": "dataset_map_and_batch",
      "title": "Fused implementation of dataset_map() and dataset_batch()",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_map_and_batch"
      ]
    },
    {
      "page": "dataset_options",
      "title": "Get or Set Dataset Options",
      "topics": [
        "dataset_options"
      ]
    },
    {
      "page": "dataset_padded_batch",
      "title": "Combines consecutive elements of this dataset into padded batches.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_padded_batch"
      ]
    },
    {
      "page": "dataset_prefetch",
      "title": "Creates a Dataset that prefetches elements from this dataset.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_prefetch"
      ]
    },
    {
      "page": "dataset_prefetch_to_device",
      "title": "A transformation that prefetches dataset values to the given 'device'",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_prefetch_to_device"
      ]
    },
    {
      "page": "dataset_prepare",
      "title": "Prepare a dataset for analysis",
      "topics": [
        "dataset_prepare"
      ]
    },
    {
      "page": "dataset_rebatch",
      "title": "Rebatch elements from this dataset into batches of specified size.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_rebatch"
      ]
    },
    {
      "page": "dataset_reduce",
      "title": "Reduces the input dataset to a single element.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_reduce"
      ]
    },
    {
      "page": "dataset_rejection_resample",
      "title": "A transformation that resamples a dataset to a target distribution.",
      "topics": [
        "dataset_rejection_resample"
      ]
    },
    {
      "page": "dataset_repeat",
      "title": "Repeats a dataset count times.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_repeat"
      ]
    },
    {
      "page": "dataset_scan",
      "title": "A transformation that scans a function across an input dataset",
      "topics": [
        "dataset_scan"
      ]
    },
    {
      "page": "dataset_shard",
      "title": "Creates a dataset that includes only 1 / num_shards of this dataset.",
      "concept": [
        "Dataset methods"
      ],
      "topics": [
        "dataset_shard"
      ]
    },
    {
      "page": "dataset_shuffle",
      "title": "Randomly shuffles the elements of this dataset.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_shuffle"
      ]
    },
    {
      "page": "dataset_shuffle_and_repeat",
      "title": "Shuffles and repeats a dataset returning a new permutation for each epoch.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_shuffle_and_repeat"
      ]
    },
    {
      "page": "dataset_skip",
      "title": "Creates a dataset that skips count elements from this dataset",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_skip"
      ]
    },
    {
      "page": "dataset_snapshot",
      "title": "Persist the output of a dataset",
      "topics": [
        "dataset_snapshot"
      ]
    },
    {
      "page": "dataset_take",
      "title": "Creates a dataset with at most count elements from this dataset",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_take"
      ]
    },
    {
      "page": "dataset_take_while",
      "title": "A transformation that stops dataset iteration based on a predicate.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_take_while"
      ]
    },
    {
      "page": "dataset_unbatch",
      "title": "Unbatch a dataset",
      "topics": [
        "dataset_unbatch"
      ]
    },
    {
      "page": "dataset_unique",
      "title": "A transformation that discards duplicate elements of a Dataset.",
      "topics": [
        "dataset_unique"
      ]
    },
    {
      "page": "dataset_use_spec",
      "title": "Transform the dataset using the provided spec.",
      "concept": [
        "Feature Spec Functions"
      ],
      "topics": [
        "dataset_use_spec"
      ]
    },
    {
      "page": "dataset_window",
      "title": "Combines input elements into a dataset of windows.",
      "concept": [
        "dataset methods"
      ],
      "topics": [
        "dataset_window"
      ]
    },
    {
      "page": "delim_record_spec",
      "title": "Specification for reading a record from a text file with delimited values",
      "topics": [
        "csv_record_spec",
        "delim_record_spec",
        "tsv_record_spec"
      ]
    },
    {
      "page": "dense_features",
      "title": "Dense Features",
      "topics": [
        "dense_features"
      ]
    },
    {
      "page": "feature_spec",
      "title": "Creates a feature specification.",
      "concept": [
        "Feature Spec Functions"
      ],
      "topics": [
        "feature_spec"
      ]
    },
    {
      "page": "file_list_dataset",
      "title": "A dataset of all files matching a pattern",
      "topics": [
        "file_list_dataset"
      ]
    },
    {
      "page": "fit.FeatureSpec",
      "title": "Fits a feature specification.",
      "concept": [
        "Feature Spec Functions"
      ],
      "topics": [
        "fit.FeatureSpec"
      ]
    },
    {
      "page": "fixed_length_record_dataset",
      "title": "A dataset of fixed-length records from one or more binary files.",
      "topics": [
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      "page": "has_type",
      "title": "Identify the type of the variable.",
      "concept": [
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    {
      "page": "hearts",
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      "topics": [
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      "page": "iterator_get_next",
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      "topics": [
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      "page": "iterator_initializer",
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      "topics": [
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      "page": "iterator_make_initializer",
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    {
      "page": "step_bucketized_column",
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