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Analyzed about 10 hours ago. based on code collected 1 day ago.
Nov 06, 2025 — Nov 06, 2026
Commit Message Contributor Files Modified Lines Added Lines Removed Code Location Date
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Changed Postfix Evaluation to Infix evaluation in Lambda Function Growth with logs in testlogs/
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
-------------------------------------------------------------------------- Experimental implementation of Recursive Lambda Function Growth Algorithm -------------------------------------------------------------------------- 1.Text converted to an AVL Balanced Tree 2.Postorder traversal of this tree computes a postfix expression 3.Postfix expression is evaluated and a lambda function composition is generated by parenthesization denoting a function with two arguments.Logs for this have been committed to testlogs/ which show the inorder and postorder traversal and the final lambda function grown from a text.
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document - Section 291
Srinivasan Kannan
More... over 10 years ago
Updated Comments in DeepLearning_ReinforcementLearningThoughtNet.py
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Reinforcement Learning code has been bifurcated into two files than having in if-else clause, for facilitating future imports :- one for MonteCarlo and the other for ThoughtNet Evocation.
Srinivasan Kannan
More... over 10 years ago
------------------------------------------------------------------------------------------------------- Commits - 30 June 2016 - Sentiment Scoring of ThoughtNet edges and Sorting per Class ------------------------------------------------------------------------------------------------------- 1. Create_ThoughtNet_Hypergraph.py has been changed to do sentiment scoring which is a nett of positivity, negativity and objectivity per thought hyperedge and to sort the per-class key list of hyperedges descending based on sentiment scores computed. 2. python-src/ReinforcementLearning.input.txt which is the input observation stimulus and python-src/ThoughtNet/ThoughtNet_Edges.txt, the training data for construction of Hypergraph have been updated with additional text sentences. 3. Hypergraph created for this is committed at python-src/ThoughtNet/ThoughtNet_Hypergraph_Generated.txt with logs in python-src/ThoughtNet/testlogs/Create_ThoughtNet_Hypergraph.sentiment_sorted.out.30June2016. Example evocatives for python-src/ReinforcementLearning.input.txt input to python-src/DeepLearning_ReinforcementLearningMonteCarlo.py are logged in python-src/testlogs/DeepLearning_ReinforcementLearningMonteCarlo.ThoughtNet_sentiment_sorted.out.30June2016
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Logs for ThoughtNet Neo4j read from automatically created ThoughtNet (Create_ThoughtNet_Hypergraph.py)
Srinivasan Kannan
More... over 10 years ago
--------------------------------------------------------------------------------------------- Major commits for ThoughtNet Hypergraph Construction and Reinforcement Learning from it --------------------------------------------------------------------------------------------- 1. python-src/DeepLearning_ReinforcementLearningMonteCarlo.py reads from automatically generated ThoughtNet Hypergraph text backend created by python-src/ThoughtNet/Create_ThoughtNet_Hypergraph.py in python-src/ThoughtNet/ThoughtNet_Hypergraph_Generated.txt 2. Separate Recursive Gloss Overlap CoreNumber and PageRank based Unsupervised Classifier has been implemented in python-src/RecursiveGlossOverlap_Classifier.py which takes any text as input arg and returns the classes it belongs to without any training data. This script is imported in python-src/ThoughtNet/Create_ThoughtNet_Hypergraph.py to automatically classify observations from environment and to build ThoughtNet based on them for evocations later. 3. python-src/ThoughtNet/ThoughtNet_Neo4j.py reads from automatically generated ThoughtNet in python-src/ThoughtNet/ThoughtNet_Hypergraph_Generated.txt 4. Logs for above have been committed to respective testlogs/ directories 5. Compared to human evaluated ThoughtNet Hypergraphs in python-src/ThoughtNet/ThoughtNet_Hypergraph.txt, generated python-src/ThoughtNet/ThoughtNet_Hypergraph_Generated.txt does quite a deep learning from WordNet mining and evocations based on this automated ThoughtNet are reasonably accurate. 6. python-src/ReinforcementLearning.input.txt and python-src/ThoughtNet/ThoughtNet_Edges.txt have been updated manually.
Srinivasan Kannan
More... over 10 years ago
Updated Requirements.txt
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
----------------------------------------------------------------- ThoughtNet Neo4j Transactional graph creation ----------------------------------------------------------------- 1.transactional begin() and commit() for graph node and edges creation has been included. 2.This requires disabling bolt and neokit disable-auth due to an auth failure config issue. 3.Logs and a screenshot for the ThoughtNet Hypergraph created in GUI (http://localhost:7474) have been committed to testlogs/
Srinivasan Kannan
More... over 10 years ago
--------------------------------------------------------------------------- Neo4j ThoughtNet Hypergraph Database Creation --------------------------------------------------------------------------- 1.New file ThoughtNet_Neo4j.py has been added to repository which reads the ThoughtNet edges and hypergraph text files and uploads them into Neo4j Graph Database through py2neo client for Neo4j. 2.Neo4j being a NoSQL graph database assists in querying the thoughtnet and scalable. 3.ThoughtNet text files have been updated with few more edges and logs for how Neo4j graph database for ThoughtNet looks like have been committed to testlogs/
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Commits for: 1. Time Series Analysis with AutoRegressionMovingAverage of Stock Quote streamed data has been implemented (R function not invoked). Logs which show the actual data and projected quotes by ARMA for few iterations have been committed to testlogs. This ARMA projection has been plotted in R to a pdf file which is also committed. 2. ARMA code implements a very basic regression+moving averages. Equation used is same though not in usual ARMA format (1-sigma())X(t) = (1+sigma()) 3. Also committed is the R plot for SequenceMined Pattern in first 10000 prime numbers in binary format (DJIA approx and approxfun plots have been regenerated)
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
ThoughtNet text files have been stored into a filesystem backend. It is read and eval()-ed into list of edges and hypergraphs. Separate ThoughtNet directory has been created for these text files.
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
ThoughtNet based Reinforcement Learning Evocation has been experimentally added as a clause in python-src/DeepLearning_ReinforcementLearningMonteCarlo.py. This is just to demonstrate how ThoughtNet hypergraph based evocation is supposed to work. python-src/ReinforcementLearning.input.txt has been updated to have a meaningful textual excerpt. Logs for this evocative model has been committed to python-src/testlogs/DeepLearning_ReinforcementLearningMonteCarlo.ThoughtNet.out.24June2016
Srinivasan Kannan
More... over 10 years ago