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Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2019/12/29 05:21:00 UTC
[jira] [Created] (SPARK-30378) FM support getter of training prams
zhengruifeng created SPARK-30378:
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Summary: FM support getter of training prams
Key: SPARK-30378
URL: https://issues.apache.org/jira/browse/SPARK-30378
Project: Spark
Issue Type: Improvement
Components: ML, PySpark
Affects Versions: 3.0.0
Reporter: zhengruifeng
{code:java}
In [1]: from pyspark.ml.linalg import VectorsIn [2]: from pyspark.ml.classification import FMClassifierIn [3]: df = spark.createDataFrame([(1.0, Vectors.dense(1.0)),(0.0, Vectors.sparse(1, [], []))], ["label", "features"])In [4]: fm = FMClassifier(factorSize=2, seed=11)In [5]: model = fm.fit(df)
19/12/29 13:17:27 WARN BLAS: Failed to load implementation from: com.github.fommil.netlib.NativeSystemBLAS
19/12/29 13:17:27 WARN BLAS: Failed to load implementation from: com.github.fommil.netlib.NativeRefBLASIn [6]: fm.getMaxIter()
Out[6]: 100In [7]: model.getMaxIter()
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AttributeError Traceback (most recent call last)
<ipython-input-7-e01eaba831a3> in <module>()
----> 1 model.getMaxIter()AttributeError: 'FMClassificationModel' object has no attribute 'getMaxIter'
{code}
It seems that we should modifiy the newly added FMs in the py side, to keep in line with other algs.
It is quite similar to your prevous work, would you like to work on this? [~huaxingao]
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