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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 Oct 1, 2020
  • Python
ClickHouse

ClickHouse / ClickHouse

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Separator the resource for Insert and Query，Keep the insert ability.

4
yunchat
yunchat commented Nov 13, 2018

Now insert and query share the resource ( Max Process Count control) 。 When the query with high TPS，the insert will get error (“error: too many process”). I think separator the resource for Insert and Query will makes sense. Ensure enough resource for insert。It looks like Use Yarn， Insert and Query use the different resource quota。
Or the simple way , Can we set Ratio for Insert and

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easy task enhancement feature good first issue

cython / cython

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catboost / catboost

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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 Nov 27, 2020
  • Jupyter Notebook

hazelcast / hazelcast

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IMap#iterable(Predicate)

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robinroos
robinroos commented Oct 16, 2020

Targetting 4.1

Proposal

Take the existing:

hazelcast/hazelcast/src/main/java/com/hazelcast/map/impl/proxy/MapProxyImpl.java

Line 916 in 4fed159

 public <R> Iterator<R> iterator(int fetchSize, int partitionId, Projection<Map.Entry<K, V>, R> projection,

And create a public API in IMap which differs from the above in that it:

  1. does not require partitionId but work
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Module: IMap Module: Query Source: Community Team: Core
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vespa

vespa-engine / vespa

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