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Posted to commits@systemds.apache.org by ss...@apache.org on 2022/08/19 19:03:50 UTC
[systemds] branch main updated: [MINOR] Cleanups in builtin scripts (i.e., formatting & removal of print statements)
This is an automated email from the ASF dual-hosted git repository.
ssiddiqi pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/systemds.git
The following commit(s) were added to refs/heads/main by this push:
new f45dea0963 [MINOR] Cleanups in builtin scripts (i.e., formatting & removal of print statements)
f45dea0963 is described below
commit f45dea0963cfd190e289875aca68ab628af3deb9
Author: Shafaq Siddiqi <sh...@tugraz.at>
AuthorDate: Fri Aug 19 21:02:49 2022 +0200
[MINOR] Cleanups in builtin scripts (i.e., formatting & removal of print statements)
---
scripts/builtin/bandit.dml | 2 +-
scripts/builtin/executePipeline.dml | 6 ++----
scripts/builtin/outlierByIQR.dml | 5 -----
.../instructions/spark/ParameterizedBuiltinSPInstruction.java | 2 --
4 files changed, 3 insertions(+), 12 deletions(-)
diff --git a/scripts/builtin/bandit.dml b/scripts/builtin/bandit.dml
index d27a7d1058..075890740c 100644
--- a/scripts/builtin/bandit.dml
+++ b/scripts/builtin/bandit.dml
@@ -85,7 +85,7 @@ m_bandit = function(Matrix[Double] X_train, Matrix[Double] Y_train, Matrix[Doubl
B = (s_max + 1) * R;
s_max = s_max - 1
idx = 1
- for(s in s_max:0, check = 0) { # TODO convert to parfor
+ for(s in s_max:0) {
# result variables
bracket_hp = matrix(0, rows=k*(s+1)+k, cols=HYPERPARAM_LENGTH)
diff --git a/scripts/builtin/executePipeline.dml b/scripts/builtin/executePipeline.dml
index a9cd918bc2..06e9132cba 100644
--- a/scripts/builtin/executePipeline.dml
+++ b/scripts/builtin/executePipeline.dml
@@ -403,9 +403,6 @@ return (Matrix[Double] X, Matrix[Double] Y)
Y = XY[, 1]
X = XY[, 2:ncol(XY)]
}
- else {
- str = "smote not applicable"
- }
}
}
@@ -435,7 +432,8 @@ return(Matrix[Double] X){
X = X + Mask
}
-storeDataForPrunning = function(Frame[Unknown] pipeline, Matrix[Double] hp, Matrix[Double] hpForPruning, Matrix[Double] changesByOp, Integer changes, Integer i)
+storeDataForPrunning = function(Frame[Unknown] pipeline, Matrix[Double] hp, Matrix[Double] hpForPruning,
+ Matrix[Double] changesByOp, Integer changes, Integer i)
return(Matrix[Double] hpForPruning, Matrix[Double] changesByOp)
{
if(ncol(hpForPruning) > 1) {
diff --git a/scripts/builtin/outlierByIQR.dml b/scripts/builtin/outlierByIQR.dml
index bd15bb0f65..a564e0b746 100644
--- a/scripts/builtin/outlierByIQR.dml
+++ b/scripts/builtin/outlierByIQR.dml
@@ -42,7 +42,6 @@
m_outlierByIQR = function(Matrix[Double] X, Double k =1.5, Integer repairMethod = 1,
Integer max_iterations, Boolean verbose = TRUE)
return(Matrix[Double] Y, Matrix[Double] Q1, Matrix[Double] Q3, Matrix[Double] IQR, Double k, Integer repairMethod)
- # return(List[Unknown] out)
{
sumPrevious = as.double(0)
@@ -71,16 +70,12 @@ m_outlierByIQR = function(Matrix[Double] X, Double k =1.5, Integer repairMethod
Y = X
if(verbose) {
- print("Total executed iterations = "+counter)
print("Upper-bound of data was calculated using Q3 + k * IQR")
print("lower-bound of data was calculated using Q3 - k * IQR")
print("Anything less than the lower-bound and greater than the upper-bound was treated as outlier")
if(sum(Y) == 0)
print("output is a zero matrix due to iterative evaluation of outliers ")
- print("output:\n"+ toString(Y))
}
- bounds = rbind(lowerBound, upperBound)
- out = list(Y, bounds)
}
fix_outliers_iqr = function(Matrix[Double] X, Matrix[Double] outlierFilter, Integer repairMethod = 1)
diff --git a/src/main/java/org/apache/sysds/runtime/instructions/spark/ParameterizedBuiltinSPInstruction.java b/src/main/java/org/apache/sysds/runtime/instructions/spark/ParameterizedBuiltinSPInstruction.java
index 7bb547673c..7135f141c6 100644
--- a/src/main/java/org/apache/sysds/runtime/instructions/spark/ParameterizedBuiltinSPInstruction.java
+++ b/src/main/java/org/apache/sysds/runtime/instructions/spark/ParameterizedBuiltinSPInstruction.java
@@ -686,8 +686,6 @@ public class ParameterizedBuiltinSPInstruction extends ComputationSPInstruction
_off.getBlock(1, (int) arg0._1().getColumnIndex()));
// execute remove empty operations
- System.out.println("offset: "+offsets.getValue().getNumRows());
- System.out.println("_rmRows: "+_rmRows);
ArrayList<IndexedMatrixValue> out = new ArrayList<>();
LibMatrixReorg.rmempty(data, offsets, _rmRows, _len, _blen, out);