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Apache Spark

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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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donnemartin / data-science-ipython-notebooks

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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.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated May 13, 2021
  • Python
cube.js

cube-js / cube.js

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Time dimension on a runningTotal measure on Snowflake mixes quoted and unquoted columns

3
leogodin217
leogodin217 commented Sep 17, 2021

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:

  • All unquoted column names are treated as upper case
  • Quoted column names are case sensitive.

So "date_from" <> date_from

To Reproduce
Steps to reproduce

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bug help wanted good first issue
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flink-learning

zhisheng17 / flink-learning

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flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

mysql redis elasticsearch streaming kafka spark influxdb rabbitmq clickhouse hbase stream-processing opentsdb loki flink rocketmq
  • Updated Oct 6, 2021
  • Java

itdevbooks / pdf

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编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类

mysql python linux docker redis elasticsearch spark spring hadoop rabbitmq solr jvm netty springboot mybatis springcloud
  • Updated Aug 3, 2021

h2oai / h2o-3

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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.

python java data-science machine-learning multi-threading opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl
  • Updated Oct 7, 2021
  • Jupyter Notebook

donnemartin / dev-setup

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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.

nodejs mysql python git vim macos linux bash redis cli mac aws elasticsearch cloud spark mongodb iterm2 sublime-text postgresql android-development
  • Updated Dec 23, 2020
  • Python

spark-jobserver / spark-jobserver

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Can't get config, when I post a job with 'sync=true'

1
wanshicheng
wanshicheng commented Jun 23, 2021

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"

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SynapseML

microsoft / SynapseML

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[LightGBM] Regression: how to penalize negative predictions

17
brunocous
brunocous commented Sep 2, 2020

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?

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enhancement good first issue LightGBM
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Created by Matei Zaharia

Released May 26, 2014

Repository
apache/spark
Website
spark.apache.org
Wikipedia
Wikipedia

Related Topics

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