[
https://issues.apache.org/jira/browse/SYSTEMML-903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nick Pentreath updated SYSTEMML-903:
------------------------------------
Description:
Hitting this exception when doing something (admittedly trivial) in Python API,
following on from the website example code:
{code}
import numpy as np
from sklearn import datasets
import systemml as sml
from pyspark.sql import SQLContext
# Load the diabetes dataset
diabetes = datasets.load_diabetes()
# Use only one feature
diabetes_X = diabetes.data[:, np.newaxis, 2]
## -- End pasted text --
In [16]: X = sml.matrix(diabetes_X)
In [17]: diff = X - X
In [18]: diff.toNumPyArray()
{code}
Throws:
{code}
Py4JJavaError: An error occurred while calling
z:org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt.convertMBtoPy4JDenseArr.
: org.apache.sysml.runtime.DMLRuntimeException: Sparse to dense conversion is
not yet implemented
at
org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt.convertMBtoPy4JDenseArr(RDDConverterUtilsExt.java:373)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:209)
at java.lang.Thread.run(Thread.java:745)
{code}
was:
Hitting this exception when doing something (admittedly trivial) in Python API,
following on from the website example code:
{code}
import numpy as np
from sklearn import datasets
import systemml as sml
from pyspark.sql import SQLContext
# Load the diabetes dataset
diabetes = datasets.load_diabetes()
# Use only one feature
diabetes_X = diabetes.data[:, np.newaxis, 2]
## -- End pasted text --
In [16]: X = sml.matrix(diabetes_X)
In [17]: diff = X - X
In [18]: diff.toNumPyArray()
{code}
> [Python API] Sparse to dense conversion is not yet implemented
> --------------------------------------------------------------
>
> Key: SYSTEMML-903
> URL: https://issues.apache.org/jira/browse/SYSTEMML-903
> Project: SystemML
> Issue Type: Bug
> Reporter: Nick Pentreath
>
> Hitting this exception when doing something (admittedly trivial) in Python
> API, following on from the website example code:
> {code}
> import numpy as np
> from sklearn import datasets
> import systemml as sml
> from pyspark.sql import SQLContext
> # Load the diabetes dataset
> diabetes = datasets.load_diabetes()
> # Use only one feature
> diabetes_X = diabetes.data[:, np.newaxis, 2]
> ## -- End pasted text --
> In [16]: X = sml.matrix(diabetes_X)
> In [17]: diff = X - X
> In [18]: diff.toNumPyArray()
> {code}
> Throws:
> {code}
> Py4JJavaError: An error occurred while calling
> z:org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt.convertMBtoPy4JDenseArr.
> : org.apache.sysml.runtime.DMLRuntimeException: Sparse to dense conversion is
> not yet implemented
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt.convertMBtoPy4JDenseArr(RDDConverterUtilsExt.java:373)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
> at
> py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
> at py4j.Gateway.invoke(Gateway.java:259)
> at
> py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:209)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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