[SYSTEMML-1445] Add support for matrix-vector GPU axpy operation Closes #445.
Project: http://git-wip-us.apache.org/repos/asf/incubator-systemml/repo Commit: http://git-wip-us.apache.org/repos/asf/incubator-systemml/commit/d1fa154e Tree: http://git-wip-us.apache.org/repos/asf/incubator-systemml/tree/d1fa154e Diff: http://git-wip-us.apache.org/repos/asf/incubator-systemml/diff/d1fa154e Branch: refs/heads/gh-pages Commit: d1fa154e28bfe0f75d5a03db4b661045a9eea92a Parents: a1d73f8 Author: Niketan Pansare <[email protected]> Authored: Fri Mar 31 17:14:11 2017 -0700 Committer: Niketan Pansare <[email protected]> Committed: Fri Mar 31 17:14:11 2017 -0700 ---------------------------------------------------------------------- beginners-guide-python.md | 5 ----- 1 file changed, 5 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/d1fa154e/beginners-guide-python.md ---------------------------------------------------------------------- diff --git a/beginners-guide-python.md b/beginners-guide-python.md index 24f7151..9beba19 100644 --- a/beginners-guide-python.md +++ b/beginners-guide-python.md @@ -250,8 +250,6 @@ algorithm on digits datasets. # Scikit-learn way from sklearn import datasets from systemml.mllearn import LogisticRegression -from pyspark.sql import SQLContext -sqlCtx = SQLContext(sc) digits = datasets.load_digits() X_digits = digits.data y_digits = digits.target @@ -281,7 +279,6 @@ from pyspark.sql import SQLContext import pandas as pd from sklearn.metrics import accuracy_score import systemml as sml -sqlCtx = SQLContext(sc) digits = datasets.load_digits() X_digits = digits.data y_digits = digits.target @@ -314,7 +311,6 @@ from pyspark.ml import Pipeline from systemml.mllearn import LogisticRegression from pyspark.ml.feature import HashingTF, Tokenizer from pyspark.sql import SQLContext -sqlCtx = SQLContext(sc) training = sqlCtx.createDataFrame([ (0, "a b c d e spark", 1.0), (1, "b d", 2.0), @@ -368,7 +364,6 @@ from sklearn import datasets from pyspark.sql import SQLContext import systemml as sml import pandas as pd -sqlCtx = SQLContext(sc) digits = datasets.load_digits() X_digits = digits.data y_digits = digits.target + 1
