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@agile-data-scientists

Popular repositories

  1. deep-ttf

    Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

    Jupyter Notebook 82 38

  2. sparkz

    An extension to the amazing Spark framework for better functional programming.

    Scala 26 4

  3. wordpress-posts-recommender

    Proof-of-concept of how to implement a WordPress blog post recommender end-to-end using Spark, Scala and the SparkNotebook.

    Scala 7 9

  4. agile-data-science-manifesto

    Agile Manifesto for Data Science

    CSS 5 2

  5. scala-table-clients

    Libraries for querying and interacting with HDFS, HBase and Hive from a driver client.

    Scala 5

  6. tunup

    TunUp: A Parallel Genetic Auto-Tuning system for Big Data Machine Learning algorithms

    Java 4 2

5 contributions in the last year

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mon Wed Fri

Contribution activity

February 2019

gm-spacagna has no activity yet for this period.

January 2019

Created a pull request in jupyter-incubator/sparkmagic that received 2 comments

Pyspark3 compatibility livy0.4+

I have tried a different implementation for fixing the compatibility of PySpark3 on Livy0.4+ as described in #421. For me the major problem was the…

+423 −329 2 comments

Created an issue in pandas-dev/pandas that received 3 comments

SparseDataFrame.to_coo does not convert the default fill value when is not 0

Code Sample, a copy-pastable example if possible import pandas as pd import numpy as np sparse_df = pd.SparseDataFrame(np.array([[1,2, np.nan], [np…

3 comments

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