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big-data

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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.

  • Updated Nov 4, 2021
  • Python
Bluenix2
Bluenix2 commented Aug 7, 2021

Is your feature request related to a problem? Please describe.
Many static type checkers have issues finding Cython's stubs.
Here is from running mypy on my current project:

error: Skipping analyzing "cython": found module but no type hints or library stubs

The same issue can be seen when using import Cython as cython:

error: Skipping analyzing "Cython": found module but 
ayulockin
ayulockin commented Dec 1, 2021

I am working on creating a WandbCallback for Weights and Biases. I am glad that CatBoost has a callback system in place but it would be great if we can extend the interface.

The current callback only supports after_iteration that takes info. Taking inspiration from XGBoost callback system it would be great if we can have before iteration that takes info, before_training, and `after

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.

  • Updated Jan 8, 2022
  • Jupyter Notebook
vespa
abhimech001
abhimech001 commented Oct 6, 2021

Hi Team,

I have created a vespa multinode stack and performed a load test for search query

  1. search with single field with 60s timeout - median was consistent around 150 to 200ms
    endpoint : /search/
    http request : POST
    Body:
    {
    "yql":"select * from sources * where table contains "testing.vespa.search"
    }
  2. search with more fields and conditions - median was 100+ secs which is very

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