How to custom pyspark stringindexer to order
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I'm new to pyspark and currently building a GBM model under Spark version 2.2.0 while I noticed there's issue when applied one-hot-encoding to convert the categorical features using stringindexer.
According to the documentation:
StringIndexer maps labels to numbers according to the descending order
of label frequency.
In the later version of Spark > 2.3.0, I noticed this issue has been resolved, and there're ways to set the param to:
indexer = StringIndexer(InputCol="label",OutputCol="labelIndex",stringOrderType ='alphabet_desc')
- 'freq_desc': descending order by label frequency (most frequent label
assigned 0) - 'freq_asc': ascending order by label frequency (least
frequent label assigned 0) - 'alphabet_desc': descending alphabetical order
- 'alphabet_asc': ascending alphabetical order
My question is, under spark 2.2.0, how to custom the StringIndexer to make the above function happen (stringOrderType ='alphabet_desc'), eg. mapping labels to numbers to follow the alphabetical order instead of the label frequency to avoid causing issue with the one-hot-encoding?
Thank you for taking time review my question :)
python apache-spark pyspark
edited Nov 9 at 2:29
AS Mackay
1,7633816
asked Nov 9 at 0:46
Chelsgloria
11
add a comment |
up vote
-1
down vote
favorite
I'm new to pyspark and currently building a GBM model under Spark version 2.2.0 while I noticed there's issue when applied one-hot-encoding to convert the categorical features using stringindexer.
According to the documentation:
StringIndexer maps labels to numbers according to the descending order
of label frequency.
In the later version of Spark > 2.3.0, I noticed this issue has been resolved, and there're ways to set the param to:
indexer = StringIndexer(InputCol="label",OutputCol="labelIndex",stringOrderType ='alphabet_desc')
- 'freq_desc': descending order by label frequency (most frequent label
assigned 0) - 'freq_asc': ascending order by label frequency (least
frequent label assigned 0) - 'alphabet_desc': descending alphabetical order
- 'alphabet_asc': ascending alphabetical order
My question is, under spark 2.2.0, how to custom the StringIndexer to make the above function happen (stringOrderType ='alphabet_desc'), eg. mapping labels to numbers to follow the alphabetical order instead of the label frequency to avoid causing issue with the one-hot-encoding?
Thank you for taking time review my question :)
python apache-spark pyspark
edited Nov 9 at 2:29
AS Mackay
1,7633816
asked Nov 9 at 0:46
Chelsgloria
11
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I'm new to pyspark and currently building a GBM model under Spark version 2.2.0 while I noticed there's issue when applied one-hot-encoding to convert the categorical features using stringindexer.
According to the documentation:
StringIndexer maps labels to numbers according to the descending order
of label frequency.
In the later version of Spark > 2.3.0, I noticed this issue has been resolved, and there're ways to set the param to:
indexer = StringIndexer(InputCol="label",OutputCol="labelIndex",stringOrderType ='alphabet_desc')
- 'freq_desc': descending order by label frequency (most frequent label
assigned 0) - 'freq_asc': ascending order by label frequency (least
frequent label assigned 0) - 'alphabet_desc': descending alphabetical order
- 'alphabet_asc': ascending alphabetical order
My question is, under spark 2.2.0, how to custom the StringIndexer to make the above function happen (stringOrderType ='alphabet_desc'), eg. mapping labels to numbers to follow the alphabetical order instead of the label frequency to avoid causing issue with the one-hot-encoding?
Thank you for taking time review my question :)
python apache-spark pyspark
edited Nov 9 at 2:29
AS Mackay
1,7633816
asked Nov 9 at 0:46
Chelsgloria
11
I'm new to pyspark and currently building a GBM model under Spark version 2.2.0 while I noticed there's issue when applied one-hot-encoding to convert the categorical features using stringindexer.
According to the documentation:
StringIndexer maps labels to numbers according to the descending order
of label frequency.
In the later version of Spark > 2.3.0, I noticed this issue has been resolved, and there're ways to set the param to:
indexer = StringIndexer(InputCol="label",OutputCol="labelIndex",stringOrderType ='alphabet_desc')
- 'freq_desc': descending order by label frequency (most frequent label
assigned 0) - 'freq_asc': ascending order by label frequency (least
frequent label assigned 0) - 'alphabet_desc': descending alphabetical order
- 'alphabet_asc': ascending alphabetical order
My question is, under spark 2.2.0, how to custom the StringIndexer to make the above function happen (stringOrderType ='alphabet_desc'), eg. mapping labels to numbers to follow the alphabetical order instead of the label frequency to avoid causing issue with the one-hot-encoding?
Thank you for taking time review my question :)
python apache-spark pyspark
python apache-spark pyspark
edited Nov 9 at 2:29
AS Mackay
1,7633816
asked Nov 9 at 0:46
Chelsgloria
11
edited Nov 9 at 2:29
AS Mackay
1,7633816
asked Nov 9 at 0:46
Chelsgloria
11
edited Nov 9 at 2:29
AS Mackay
1,7633816
edited Nov 9 at 2:29
AS Mackay
1,7633816
edited Nov 9 at 2:29
AS Mackay
1,7633816
1,7633816
asked Nov 9 at 0:46
Chelsgloria
11
asked Nov 9 at 0:46
Chelsgloria
11
asked Nov 9 at 0:46
Chelsgloria
11
11
add a comment |
add a comment |
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