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model_api_tests
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README.md
__init__.py
analyze_knn.py
clustering_runner.py
hello_classification_model.py
junit_test1.py
junit_test2.py
junit_test3.py
junit_test4.py
junit_test5.py
junit_test8.py
run_buckets_experiment.py
run_classification_experiment.py
run_simple_classification_experiment.py
run_tm_learning.py
simple_labels.py
simple_queries.py

README.md

Language with NuPIC

This directory contains scripts for running NLP-based applications using NuPIC and Cortical.io's API.

Additional requirements:

Use cases

In this directory are scripts for some NLP experiments. They each use one or more of the following models:

  • Keywords model gives a random (seeded) encoding to each word.
  • Cortical.io word fingerprints model encodes each word with their API, and then makes a union representation over the words in a block of text.
  • Cortical.io document fingerprints model uses their API to encode a block of text.
  • HTM Network models use the Cortical.io word-level encoder, and then run the patterns through the Network API.
  • Cortical.io classify endpoint model is an end-to-end classification tool in their API.

Text querying

Please refer to the Imbu project directory.

Classification examples

See the hello_classification.py and simple_labels.py scripts.

Additional examples

The "Fox-eats" demo is an example from the NuPIC 2013 Hackathon, using a previous version Numenta's NLP code.