 |
2.1.0
User Documentation for Apache MADlib
|
|
|
2.1.0
User Documentation for Apache MADlib
|
|
We currently support one-hot and dummy coding techniques.
Dummy coding is used when a researcher wants to compare other groups of the predictor variable with one specific group of the predictor variable. Often, the specific group to compare with is called the reference group.
One-hot encoding is similar to dummy coding except it builds indicator (0/1) columns (cast as numeric) for each value of each category. Only one of these columns could take on the value 1 for each row (data point). There is no reference category for this function.
encode_categorical_variables (
source_table,
output_table,
categorical_cols,
categorical_cols_to_exclude, -- Optional
row_id, -- Optional
top, -- Optional
value_to_drop, -- Optional
encode_null, -- Optional
output_type, -- Optional
output_dictionary, -- Optional
distributed_by -- Optional
)
Arguments
VARCHAR. Name of the table containing the source categorical data to encode.
VARCHAR. Name of the result table.
VARCHAR. Comma-separated string of column names of categorical variables to encode. Can also be '*' meaning all columns are to be encoded, except the ones specified in 'categorical_cols_to_exclude' and 'row_id'. Please note that all Boolean, integer and text columns are considered categorical columns and will be encoded when ‘*’ is specified for this argument.
VARCHAR. Comma-separated string of column names to exclude from the categorical variables to encode. Applicable only if 'categorical_cols' = '*'.
VARCHAR. Comma-separated column name(s) corresponding to the primary key(s) of the source table. This parameter determines the format of the 'output_table' as described above. If 'categorical_cols' = '*', these columns will be excluded from encoding (but will be included in the output table).
VARCHAR. default: NULL. If integer, encodes the top n values by frequency. If float in the range (0.0, 1.0), encodes the specified fraction of values by frequency (e.g., 0.1 means top 10%). Can be specified as a global for all categorical columns, or as a dictionary with separate 'top' values for each categorical variable. Set to NULL to encode all levels (values) for all categorical columns.
VARCHAR. Default: NULL.
BOOLEAN. default: FALSE. Whether NULL should be treated as one of the values of the categorical variable. If TRUE, then an indicator variable is created corresponding to the NULL value. If FALSE, then all encoded values for that variable will be set to 0.
VARCHAR. default: 'column'. This parameter controls the output format of the indicator variables. If 'column', a column is created for each indicator variable. PostgreSQL limits the number of columns in a table. If the total number of indicator columns exceeds the limit, then make this parameter either 'array' to combine the indicator columns into an array or 'svec' to cast the array output to 'madlib.svec' type.
Since the array output for any single tuple would be sparse (only one non-zero entry for each categorical column), the 'svec' output would be most efficient for storage. The 'array' output is useful if the array is used for post-processing, including concatenating with other non-categorical features.
The order of the array is the same as specified in 'categorical_cols'. A dictionary will be created when 'output_type' is 'array' or 'svec' to define an index into the array. The dictionary table will be given the name of the 'output_table' appended by '_dictionary'.
BOOLEAN. default: FALSE. This parameter is used to handle auto-generated column names that exceed the PostgreSQL limit of 63 bytes.
VARCHAR. default: NULL. Columns to use for the distribution policy of the output table. When NULL, either 'row_id' is used as distribution policy (when provided), or else the distribution policy of 'source_table' will be used. This argument does not apply to PostgreSQL platforms.
DROP TABLE IF EXISTS abalone;
CREATE TABLE abalone (
id serial,
sex character varying,
length double precision,
diameter double precision,
height double precision,
rings int
);
INSERT INTO abalone (sex, length, diameter, height, rings) VALUES
('M', 0.455, 0.365, 0.095, 15),
('M', 0.35, 0.265, 0.09, 7),
('F', 0.53, 0.42, 0.135, 9),
('M', 0.44, 0.365, 0.125, 10),
('I', 0.33, 0.255, 0.08, 7),
('I', 0.425, 0.3, 0.095, 8),
('F', 0.53, 0.415, 0.15, 20),
('F', 0.545, 0.425, 0.125, 16),
('M', 0.475, 0.37, 0.125, 9),
(NULL, 0.55, 0.44, 0.15, 19),
('F', 0.525, 0.38, 0.14, 14),
('M', 0.43, 0.35, 0.11, 10),
('M', 0.49, 0.38, 0.135, 11),
('F', 0.535, 0.405, 0.145, 10),
('F', 0.47, 0.355, 0.1, 10),
('M', 0.5, 0.4, 0.13, 12),
('I', 0.355, 0.28, 0.085, 7),
('F', 0.44, 0.34, 0.1, 10),
('M', 0.365, 0.295, 0.08, 7),
(NULL, 0.45, 0.32, 0.1, 9);
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'sex' -- Categorical columns
);
SELECT * FROM abalone_out ORDER BY id;
id | length | diameter | height | rings | sex_F | sex_I | sex_M ----+--------+----------+--------+-------+-------+-------+------- 1 | 0.455 | 0.365 | 0.095 | 15 | 0 | 0 | 1 2 | 0.35 | 0.265 | 0.09 | 7 | 0 | 0 | 1 3 | 0.53 | 0.42 | 0.135 | 9 | 1 | 0 | 0 4 | 0.44 | 0.365 | 0.125 | 10 | 0 | 0 | 1 5 | 0.33 | 0.255 | 0.08 | 7 | 0 | 1 | 0 6 | 0.425 | 0.3 | 0.095 | 8 | 0 | 1 | 0 7 | 0.53 | 0.415 | 0.15 | 20 | 1 | 0 | 0 8 | 0.545 | 0.425 | 0.125 | 16 | 1 | 0 | 0 9 | 0.475 | 0.37 | 0.125 | 9 | 0 | 0 | 1 10 | 0.55 | 0.44 | 0.15 | 19 | 0 | 0 | 0 11 | 0.525 | 0.38 | 0.14 | 14 | 1 | 0 | 0 12 | 0.43 | 0.35 | 0.11 | 10 | 0 | 0 | 1 13 | 0.49 | 0.38 | 0.135 | 11 | 0 | 0 | 1 14 | 0.535 | 0.405 | 0.145 | 10 | 1 | 0 | 0 15 | 0.47 | 0.355 | 0.1 | 10 | 1 | 0 | 0 16 | 0.5 | 0.4 | 0.13 | 12 | 0 | 0 | 1 17 | 0.355 | 0.28 | 0.085 | 7 | 0 | 1 | 0 18 | 0.44 | 0.34 | 0.1 | 10 | 1 | 0 | 0 19 | 0.365 | 0.295 | 0.08 | 7 | 0 | 0 | 1 20 | 0.45 | 0.32 | 0.1 | 9 | 0 | 0 | 0 (20 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'sex', -- Categorical columns
NULL, -- Categorical columns to exclude
NULL, -- Index columns
NULL, -- Top values
NULL, -- Value to drop for dummy encoding
TRUE -- Encode nulls
);
SELECT * FROM abalone_out ORDER BY id;
id | length | diameter | height | rings | sex_F | sex_I | sex_M | sex_null ----+--------+----------+--------+-------+-------+-------+-------+---------- 1 | 0.455 | 0.365 | 0.095 | 15 | 0 | 0 | 1 | 0 2 | 0.35 | 0.265 | 0.09 | 7 | 0 | 0 | 1 | 0 3 | 0.53 | 0.42 | 0.135 | 9 | 1 | 0 | 0 | 0 4 | 0.44 | 0.365 | 0.125 | 10 | 0 | 0 | 1 | 0 5 | 0.33 | 0.255 | 0.08 | 7 | 0 | 1 | 0 | 0 6 | 0.425 | 0.3 | 0.095 | 8 | 0 | 1 | 0 | 0 7 | 0.53 | 0.415 | 0.15 | 20 | 1 | 0 | 0 | 0 8 | 0.545 | 0.425 | 0.125 | 16 | 1 | 0 | 0 | 0 9 | 0.475 | 0.37 | 0.125 | 9 | 0 | 0 | 1 | 0 10 | 0.55 | 0.44 | 0.15 | 19 | 0 | 0 | 0 | 1 11 | 0.525 | 0.38 | 0.14 | 14 | 1 | 0 | 0 | 0 12 | 0.43 | 0.35 | 0.11 | 10 | 0 | 0 | 1 | 0 13 | 0.49 | 0.38 | 0.135 | 11 | 0 | 0 | 1 | 0 14 | 0.535 | 0.405 | 0.145 | 10 | 1 | 0 | 0 | 0 15 | 0.47 | 0.355 | 0.1 | 10 | 1 | 0 | 0 | 0 16 | 0.5 | 0.4 | 0.13 | 12 | 0 | 0 | 1 | 0 17 | 0.355 | 0.28 | 0.085 | 7 | 0 | 1 | 0 | 0 18 | 0.44 | 0.34 | 0.1 | 10 | 1 | 0 | 0 | 0 19 | 0.365 | 0.295 | 0.08 | 7 | 0 | 0 | 1 | 0 20 | 0.45 | 0.32 | 0.1 | 9 | 0 | 0 | 0 | 1 (20 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'*', -- Categorical columns
NULL, -- Categorical columns to exclude
'id' -- Index columns
);
SELECT * FROM abalone_out ORDER BY id;
id | sex_F | sex_I | sex_M | rings_7 | rings_8 | rings_9 | rings_10 | rings_11 | rings_12 | rings_14 | rings_15 | rings_16 | rings_19 | rings_20 ----+-------+-------+-------+---------+---------+---------+----------+----------+----------+----------+----------+----------+----------+---------- 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 4 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 6 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 9 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 12 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 13 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 14 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 16 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 17 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 18 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 19 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 20 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 (20 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'*', -- Categorical columns
NULL, -- Categorical columns to exclude
'id', -- Index columns
'sex=2, rings=0.5' -- Top values
);
SELECT * FROM abalone_out ORDER BY id;
id | sex_M | sex_F | sex__misc__ | rings_10 | rings_7 | rings_9 | rings__misc__ ----+-------+-------+-------------+----------+---------+---------+--------------- 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 3 | 0 | 1 | 0 | 0 | 0 | 1 | 0 4 | 1 | 0 | 0 | 1 | 0 | 0 | 0 5 | 0 | 0 | 1 | 0 | 1 | 0 | 0 6 | 0 | 0 | 1 | 0 | 0 | 0 | 1 7 | 0 | 1 | 0 | 0 | 0 | 0 | 1 8 | 0 | 1 | 0 | 0 | 0 | 0 | 1 9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 10 | 0 | 0 | 0 | 0 | 0 | 0 | 1 11 | 0 | 1 | 0 | 0 | 0 | 0 | 1 12 | 1 | 0 | 0 | 1 | 0 | 0 | 0 13 | 1 | 0 | 0 | 0 | 0 | 0 | 1 14 | 0 | 1 | 0 | 1 | 0 | 0 | 0 15 | 0 | 1 | 0 | 1 | 0 | 0 | 0 16 | 1 | 0 | 0 | 0 | 0 | 0 | 1 17 | 0 | 0 | 1 | 0 | 1 | 0 | 0 18 | 0 | 1 | 0 | 1 | 0 | 0 | 0 19 | 1 | 0 | 0 | 0 | 1 | 0 | 0 20 | 0 | 0 | 0 | 0 | 0 | 1 | 0 (20 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'sex, rings', -- Categorical columns
NULL, -- Categorical columns to exclude
'id, sex, rings' -- Index columns
);
SELECT * FROM abalone_out ORDER BY id;
id | sex | rings | sex_F | sex_I | sex_M | rings_7 | rings_8 | rings_9 | rings_10 | rings_11 | rings_12 | rings_14 | rings_15 | rings_16 | rings_19 | rings_20 ----+-----+-------+-------+-------+-------+---------+---------+---------+----------+----------+----------+----------+----------+----------+----------+---------- 1 | M | 15 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 2 | M | 7 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 3 | F | 9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 4 | M | 10 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 5 | I | 7 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 6 | I | 8 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 7 | F | 20 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 8 | F | 16 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 9 | M | 9 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 10 | | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 11 | F | 14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 12 | M | 10 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 13 | M | 11 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 14 | F | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 15 | F | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 16 | M | 12 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 17 | I | 7 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 18 | F | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 19 | M | 7 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 20 | | 9 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 (20 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'*', -- Categorical columns
'rings', -- Categorical columns to exclude
'id', -- Index columns
NULL, -- Top value
'sex=I' -- Value to drop for dummy encoding
);
SELECT * FROM abalone_out ORDER BY id;
id | sex_F | sex_M ----+-------+------- 1 | 0 | 1 2 | 0 | 1 3 | 1 | 0 4 | 0 | 1 5 | 0 | 0 6 | 0 | 0 7 | 1 | 0 8 | 1 | 0 9 | 0 | 1 10 | 0 | 0 11 | 1 | 0 12 | 0 | 1 13 | 0 | 1 14 | 1 | 0 15 | 1 | 0 16 | 0 | 1 17 | 0 | 0 18 | 1 | 0 19 | 0 | 1 20 | 0 | 0 (20 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'*', -- Categorical columns
NULL, -- Categorical columns to exclude
'id', -- Index columns
NULL, -- Top values
NULL, -- Value to drop for dummy encoding
NULL, -- Encode nulls
'array' -- Array output type
);
SELECT * FROM abalone_out ORDER BY id;
id | __encoded_variables__
----+-------------------------------
1 | {0,0,1,0,0,0,0,0,0,0,1,0,0,0}
2 | {0,0,1,1,0,0,0,0,0,0,0,0,0,0}
3 | {1,0,0,0,0,1,0,0,0,0,0,0,0,0}
4 | {0,0,1,0,0,0,1,0,0,0,0,0,0,0}
5 | {0,1,0,1,0,0,0,0,0,0,0,0,0,0}
6 | {0,1,0,0,1,0,0,0,0,0,0,0,0,0}
7 | {1,0,0,0,0,0,0,0,0,0,0,0,0,1}
8 | {1,0,0,0,0,0,0,0,0,0,0,1,0,0}
9 | {0,0,1,0,0,1,0,0,0,0,0,0,0,0}
10 | {0,0,0,0,0,0,0,0,0,0,0,0,1,0}
11 | {1,0,0,0,0,0,0,0,0,1,0,0,0,0}
12 | {0,0,1,0,0,0,1,0,0,0,0,0,0,0}
13 | {0,0,1,0,0,0,0,1,0,0,0,0,0,0}
14 | {1,0,0,0,0,0,1,0,0,0,0,0,0,0}
15 | {1,0,0,0,0,0,1,0,0,0,0,0,0,0}
16 | {0,0,1,0,0,0,0,0,1,0,0,0,0,0}
17 | {0,1,0,1,0,0,0,0,0,0,0,0,0,0}
18 | {1,0,0,0,0,0,1,0,0,0,0,0,0,0}
19 | {0,0,1,1,0,0,0,0,0,0,0,0,0,0}
20 | {0,0,0,0,0,1,0,0,0,0,0,0,0,0}
(20 rows)
View the dictionary table that gives the index into the array: SELECT * FROM abalone_out_dictionary;
encoded_column_name | index | variable | value -----------------------+-------+----------+------- __encoded_variables__ | 1 | sex | F __encoded_variables__ | 2 | sex | I __encoded_variables__ | 3 | sex | M __encoded_variables__ | 4 | rings | 7 __encoded_variables__ | 5 | rings | 8 __encoded_variables__ | 6 | rings | 9 __encoded_variables__ | 7 | rings | 10 __encoded_variables__ | 8 | rings | 11 __encoded_variables__ | 9 | rings | 12 __encoded_variables__ | 10 | rings | 14 __encoded_variables__ | 11 | rings | 15 __encoded_variables__ | 12 | rings | 16 __encoded_variables__ | 13 | rings | 19 __encoded_variables__ | 14 | rings | 20 (14 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'*', -- Categorical columns
NULL, -- Categorical columns to exclude
'id', -- Index columns
NULL, -- Top values
NULL, -- Value to drop for dummy encoding
NULL, -- Encode nulls
NULL, -- Output type
TRUE -- Dictionary output
);
SELECT * FROM abalone_out ORDER BY id;
id | sex_1 | sex_2 | sex_3 | rings_1 | rings_2 | rings_3 | rings_4 | rings_5 | rings_6 | rings_7 | rings_8 | rings_9 | rings_10 | rings_11 ----+-------+-------+-------+---------+---------+---------+---------+---------+---------+---------+---------+---------+----------+---------- 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 4 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 6 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 9 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 12 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 13 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 14 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 16 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 17 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 18 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 19 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 20 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 (20 rows)View the dictionary table that defines the numerical columns in the output table:
SELECT * FROM abalone_out_dictionary ORDER BY encoded_column_name;
encoded_column_name | index | variable | value ---------------------+-------+----------+------- "rings_1" | 1 | rings | 7 "rings_10" | 10 | rings | 19 "rings_11" | 11 | rings | 20 "rings_2" | 2 | rings | 8 "rings_3" | 3 | rings | 9 "rings_4" | 4 | rings | 10 "rings_5" | 5 | rings | 11 "rings_6" | 6 | rings | 12 "rings_7" | 7 | rings | 14 "rings_8" | 8 | rings | 15 "rings_9" | 9 | rings | 16 "sex_1" | 1 | sex | F "sex_2" | 2 | sex | I "sex_3" | 3 | sex | M (14 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'*', -- Categorical columns
NULL, -- Categorical columns to exclude
'id', -- Index columns
NULL, -- Top values
NULL, -- Value to drop for dummy encoding
NULL, -- Encode nulls
NULL, -- Output type
NULL, -- Dictionary output
'RANDOMLY' -- Distribution policy
);
SELECT * FROM abalone_out ORDER BY id;
id | sex_F | sex_I | sex_M | rings_10 | rings_11 | rings_12 | rings_14 | rings_15 | rings_16 | rings_19 | rings_20 | rings_7 | rings_8 | rings_9 ----+-------+-------+-------+----------+----------+----------+----------+----------+----------+----------+----------+---------+---------+--------- 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 4 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 5 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 6 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 9 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 12 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 13 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 14 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 15 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 16 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 17 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 18 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 19 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 (20 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'height::TEXT' -- Categorical columns
);
SELECT * FROM abalone_out ORDER BY id;
id | sex | length | diameter | height | rings | height::TEXT_0.08 | height::TEXT_0.085 | height::TEXT_0.09 | height::TEXT_0.095 | height::TEXT_0.1 | height::TEXT_0.11 | height::TEXT_0.125 | height::TEXT_0.13 | height::TEXT_0.135 | height::TEXT_0.14 | height::TEXT_0.145 | height::TEXT_0.15 ----+-----+--------+----------+--------+-------+-------------------+--------------------+-------------------+--------------------+------------------+-------------------+--------------------+-------------------+--------------------+-------------------+--------------------+------------------- 1 | M | 0.455 | 0.365 | 0.095 | 15 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 2 | M | 0.35 | 0.265 | 0.09 | 7 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 3 | F | 0.53 | 0.42 | 0.135 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 4 | M | 0.44 | 0.365 | 0.125 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 5 | I | 0.33 | 0.255 | 0.08 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 6 | I | 0.425 | 0.3 | 0.095 | 8 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 7 | F | 0.53 | 0.415 | 0.15 | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 8 | F | 0.545 | 0.425 | 0.125 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 9 | M | 0.475 | 0.37 | 0.125 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 10 | | 0.55 | 0.44 | 0.15 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 11 | F | 0.525 | 0.38 | 0.14 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 12 | M | 0.43 | 0.35 | 0.11 | 10 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 13 | M | 0.49 | 0.38 | 0.135 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 14 | F | 0.535 | 0.405 | 0.145 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 15 | F | 0.47 | 0.355 | 0.1 | 10 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 16 | M | 0.5 | 0.4 | 0.13 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 17 | I | 0.355 | 0.28 | 0.085 | 7 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 18 | F | 0.44 | 0.34 | 0.1 | 10 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 19 | M | 0.365 | 0.295 | 0.08 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 20 | | 0.45 | 0.32 | 0.1 | 9 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 (20 rows)
DROP TABLE IF EXISTS abalone_out, abalone_out_dictionary;
SELECT madlib.encode_categorical_variables (
'abalone', -- Source table
'abalone_out', -- Output table
'height>.10' -- Categorical columns
);
SELECT * FROM abalone_out ORDER BY id;
id | sex | length | diameter | height | rings | height>.10_false | height>.10_true ----+-----+--------+----------+--------+-------+------------------+----------------- 1 | M | 0.455 | 0.365 | 0.095 | 15 | 1 | 0 2 | M | 0.35 | 0.265 | 0.09 | 7 | 1 | 0 3 | F | 0.53 | 0.42 | 0.135 | 9 | 0 | 1 4 | M | 0.44 | 0.365 | 0.125 | 10 | 0 | 1 5 | I | 0.33 | 0.255 | 0.08 | 7 | 1 | 0 6 | I | 0.425 | 0.3 | 0.095 | 8 | 1 | 0 7 | F | 0.53 | 0.415 | 0.15 | 20 | 0 | 1 8 | F | 0.545 | 0.425 | 0.125 | 16 | 0 | 1 9 | M | 0.475 | 0.37 | 0.125 | 9 | 0 | 1 10 | | 0.55 | 0.44 | 0.15 | 19 | 0 | 1 11 | F | 0.525 | 0.38 | 0.14 | 14 | 0 | 1 12 | M | 0.43 | 0.35 | 0.11 | 10 | 0 | 1 13 | M | 0.49 | 0.38 | 0.135 | 11 | 0 | 1 14 | F | 0.535 | 0.405 | 0.145 | 10 | 0 | 1 15 | F | 0.47 | 0.355 | 0.1 | 10 | 1 | 0 16 | M | 0.5 | 0.4 | 0.13 | 12 | 0 | 1 17 | I | 0.355 | 0.28 | 0.085 | 7 | 1 | 0 18 | F | 0.44 | 0.34 | 0.1 | 10 | 1 | 0 19 | M | 0.365 | 0.295 | 0.08 | 7 | 1 | 0 20 | | 0.45 | 0.32 | 0.1 | 9 | 1 | 0 (20 rows)
1.8.13