[MINOR] Remove exception in cast as IntArray

This commit removes the exception in cast as IntArray from DoubleArray.
We encounter an issue in this conversion for large numbers of double
values, that does not cast perfectly to the same double values when
casting the integer values back to doubles.

The script that reproduce the bug is:

```
k = ifdef($k, 5)
paq = ifdef($paq, 1)
X = round(rand(rows = 50, cols = 10, min=1, max=10))
y = X %*% rand(rows = ncol(X), cols = 1)
w = lm(X = X, y = y)
yhat = X %*% w
ress = slicefinder(X = X, e = abs(y - yhat), k = k, maxL = 0, minSup =
1, alpha = 1, selFeat = TRUE, verbose = TRUE)
print(toString(ress))
```

A subsequent commits add a test case that ensure this bug does not
happen again.
1 file changed
tree: 08e6a3832ddb6c14d74c6c7c55c4e342fc19ae0c
  1. .github/
  2. .mvn/
  3. bin/
  4. conf/
  5. dev/
  6. docker/
  7. docs/
  8. scripts/
  9. src/
  10. .asf.yaml
  11. .gitattributes
  12. .gitignore
  13. .gitmodules
  14. CITATION
  15. CONTRIBUTING.md
  16. doap.rdf
  17. LICENSE
  18. NOTICE
  19. pom.xml
  20. README.md
README.md

Apache SystemDS

Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.

Quick Start Install, Quick Start and Hello World

Documentation: SystemDS Documentation

Python Documentation Python SystemDS Documentation

Issue Tracker Jira Dashboard

Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source

Build Documentation LicenseCheck Java Tests Python Test