commit | 75cf454e282100be722a3dc9805d941dc16ee770 | [log] [tgz] |
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author | Sebastian Baunsgaard <baunsgaard@apache.org> | Tue Jan 30 14:01:45 2024 +0100 |
committer | Sebastian Baunsgaard <baunsgaard@apache.org> | Tue Jan 30 14:04:27 2024 +0100 |
tree | 08e6a3832ddb6c14d74c6c7c55c4e342fc19ae0c | |
parent | 69231e1c72ae85fdbe1ee2f6955854cace0517f1 [diff] |
[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.
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.
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Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source