'Cross validate in Pyspark
I have a need for cross_validate in pyspark. I have unerdstood the code with python but can anyone help me with the pyspark coding of this?
Python code:
from sklearn.model_selection import cross_validate
cv_set = cross_validate(gamma_cdf(), X['input_col'], X['target'], cv = 5, scoring = 'neg_root_mean_squared_error', return_estimator = True)
Sources
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Source: Stack Overflow
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