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Apache Spark
Apache Spark is an open source distributed general-purpose cluster-computing framework. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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Learn and understand Docker&Container technologies, with real DevOps practice!
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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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At this moment relu_layer op doesn't allow threshold configuration, and legacy RELU op allows that.
We should add configuration option to relu_layer.
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List of Data Science Cheatsheets to rule the world
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A Flexible and Powerful Parameter Server for large-scale machine learning
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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.
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Alluxio, data orchestration for analytics and machine learning in the cloud
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Feature request
Overview
Currently, the DELETE operation returns an empty result. It would be more useful if it returned the number of deleted rows.
Motivation
The number of deleted rows is an obvious metric that users would want from a delete operation.
Further details
Currently, DeleteCommand.scala is explicitly returning an empty DataFrame [here](https://g
PipelineAI Kubeflow Distribution
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Apr 24, 2020 - Jsonnet
Problem:
The current log will output something like val_function_0 while it should be val_mean_squared_error_0.
Solution:
"val/{}_{}".format(type(metric).__name__, i) use the name of the type of metric (metric is an instance of torchmetrics.metric.Metric so the type of it is function), that's why the output looks like val_function_0. It should use the name of the metri
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
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Apr 21, 2022 - Python
I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?
酷玩 Spark: Spark 源代码解析、Spark 类库等
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The Hunting ELK
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Interactive and Reactive Data Science using Scala and Spark.
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State of the Art Natural Language Processing
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Used Spark version
Spark Version: 2.4.4
Used Spark Job Server version
SJS version: v0.11.1
Deployed mode
client on Spark Standalone
Actual (wrong) behavior
I can't get config, when post a job with 'sync=true'. I got it：
http://localhost:8090/jobs/ff99479b-e59c-4215-b17d-4058f8d97d25/config
{"status":"ERROR","result":"No such job ID ff99479b-e59c-4215-b17d-4058f8d97d25"
Created by Matei Zaharia
Released May 26, 2014
- Repository
- apache/spark
- Website
- spark.apache.org
- Wikipedia
- Wikipedia
Describe the bug
Using a time dimension on a runningTotal measure on Snowflake mixes quoted and unquoted columns in the query. This fails the query, because Snowflake has specific rules about quoted columns. Specifically:
So "date_from" <> date_from
To Reproduce
Steps to reproduce