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Analyzed about 3 hours ago. based on code collected 1 day ago.
Oct 28, 2025 — Oct 28, 2026
Commit Message Contributor Files Modified Lines Added Lines Removed Code Location Date
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
- Corrected Chi-squared test input args - logs added to testlogs/
Srinivasan Kannan
More... almost 11 years ago
logs for Chi-squared and Standard Deviation
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
- Updated AsFer Design Document - Added Standard Deviation and Chi-Squared Test R functions to python-src/Norms_and_Basic_Statistics.py
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Implementation for basic statistics - L1, L2 norms, median etc.,
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Kullback-Leibler Divergence implementation: ------------------------------------------- Approximate distance between 2 probability distributions with logs in terms of weighted average distance represented as bits
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated perms
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Python rpy2 wrapper implementation for : - Principal Component Analysis(PCA) - Singular Value Decomposition(SVD) which invoke R PCA and SVD functions and plot into 2 separate pdf files has been added to repository. Logs for an example have been added to testlogs/
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
- In InterviewAlgorithm/InterviewAlgorithmWithIntrinisicMerit_SparkMapReducer.py increased local threads to 2 (for dual core cpu(s)) for all SparkContexts instantiated - Added screenshot and logs for 2 local threads SparkContext mapreduce
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
- updated spidered text - best_matching_synset() enabled in mapreduce backedges computation which accurately disambiguates the graph. Spark single node cluster is significantly slower than serial version of parents() computation with only python calls probably due to costly Python4Java back-and-forth stream socket reads. - logs, DOT file and screenshots for single node Spark cluster have been added to testlogs/
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
- Spark Recursive Gloss Overlap Intrinsic Merit code has been optimized and some minutiae bugs have been resolved. - Map function for parents computation in Spark cluster has been updated to act upon only the previous recursion level glosses by proprietary pickling of the keyword into a file storage and loading it, and not as a function argument - Problems with previous level gloss tokens were almost similar to MapReduce functions of the recursion - New pickling file for parents computation in Spark has been added - logs and screenshots have been added to testlogs - With this, Spark Intrinsic Merit computation is highly parallellized apt for large clouds - Also a parents_tokens() function that uses gloss tokens instead of synsets has been added - New pickling dump() and load() functions have been added for keyword storage - pickling is synchronized with python threading lock acquire() and release(). Shouldn't be necessary because of Concurrent Read Exclusive Write (CREW) of keyword, but for safer side to prevent Spark-internal races.
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Some optimizations and redundant code elimination in python-src/InterviewAlgorithm/InterviewAlgorithmWithIntrinisicMerit_Crawl_Visual_Spark.py
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago