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eric-czech avatar eric-czech commented on June 9, 2024

It looks like this affects the linear and logistic regression examples too.

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eric-czech avatar eric-czech commented on June 9, 2024

Ah, I think the issue is here in TwoDimensionalDoubleNumpyArrayConverter (conversions.py):

flat_arr = object.ravel() # This flattens columns first but DenseMatrix expects the other order
java_arr = _convert_numpy_to_java_array(flat_arr)
dense_matrix = sc._jvm.org.apache.spark.ml.linalg.DenseMatrix(
  object.shape[0], object.shape[1], java_arr)

A more concise version of the issue:

x = np.column_stack([np.arange(4), -np.arange(4, dtype=float)])
r = spark.createDataFrame(pd.DataFrame({'i': [0]})).withColumn('x', F.lit(x)).collect()[0]
print(x)
[[ 0. -0.]
 [ 1. -1.]
 [ 2. -2.]
 [ 3. -3.]]
print(r)
Row(i=0, x=DenseMatrix(4, 2, [0.0, -0.0, 1.0, -1.0, 2.0, -2.0, 3.0, -3.0], False))                                                                                                                                                                      
print(r.x.toArray())
[[ 0.  2.]
 [-0. -2.]
 [ 1.  3.]
 [-1. -3.]]

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kianfar77 avatar kianfar77 commented on June 9, 2024

Thanks a lot @eric-czech for raising this. Fixed in #258

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