View source: R/ml_feature_dct.R
ft_dct | R Documentation |
A feature transformer that takes the 1D discrete cosine transform of a real vector. No zero padding is performed on the input vector. It returns a real vector of the same length representing the DCT. The return vector is scaled such that the transform matrix is unitary (aka scaled DCT-II).
ft_dct(
x,
input_col = NULL,
output_col = NULL,
inverse = FALSE,
uid = random_string("dct_"),
...
)
ft_discrete_cosine_transform(
x,
input_col,
output_col,
inverse = FALSE,
uid = random_string("dct_"),
...
)
x |
A |
input_col |
The name of the input column. |
output_col |
The name of the output column. |
inverse |
Indicates whether to perform the inverse DCT (TRUE) or forward DCT (FALSE). |
uid |
A character string used to uniquely identify the feature transformer. |
... |
Optional arguments; currently unused. |
ft_discrete_cosine_transform()
is an alias for ft_dct
for backwards compatibility.
The object returned depends on the class of x
. If it is a
spark_connection
, the function returns a ml_estimator
or a
ml_estimator
object. If it is a ml_pipeline
, it will return
a pipeline with the transformer or estimator appended to it. If a
tbl_spark
, it will return a tbl_spark
with the transformation
applied to it.
Other feature transformers:
ft_binarizer()
,
ft_bucketizer()
,
ft_chisq_selector()
,
ft_count_vectorizer()
,
ft_elementwise_product()
,
ft_feature_hasher()
,
ft_hashing_tf()
,
ft_idf()
,
ft_imputer()
,
ft_index_to_string()
,
ft_interaction()
,
ft_lsh
,
ft_max_abs_scaler()
,
ft_min_max_scaler()
,
ft_ngram()
,
ft_normalizer()
,
ft_one_hot_encoder()
,
ft_one_hot_encoder_estimator()
,
ft_pca()
,
ft_polynomial_expansion()
,
ft_quantile_discretizer()
,
ft_r_formula()
,
ft_regex_tokenizer()
,
ft_robust_scaler()
,
ft_sql_transformer()
,
ft_standard_scaler()
,
ft_stop_words_remover()
,
ft_string_indexer()
,
ft_tokenizer()
,
ft_vector_assembler()
,
ft_vector_indexer()
,
ft_vector_slicer()
,
ft_word2vec()
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