feat(learning classifier) | syntethic data generator #24
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This commit message succinctly describes the main addition in the diff, which is a new feature for generating synthetic data for single class classifiers.
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amir/eng-32-featlearning-classifier-make-a-learning-classifier-by-itself
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Jul 25, 2024
* add: single class classifier generator. * add: adaptors. * add: predifined classifier. * add: tests. * add: cookbook. * update: readme. * Add news dataset fixture and single class classifier tests - Implement `news_dataset` fixture to load the 20 Newsgroups dataset. - Create tests for `SingleClassClassifierLMFunctionGenerator`, including initialization and prediction verification. - Ensure balanced dataset creation for training, validation, and test sets in `SingleClassClassifier`. * Add retry logic to classifier function in SingleClassClassifierLMFunctionGenerator Implement exponential backoff with logging for the classifier function to improve resilience during retries. * Refactor SingleClassClassifier attributes and update test cases - Change type hints from `Optional` to union types for clarity. - Modify the `_create_evaluator` method to be static. - Enhance test assertions to validate the result object and its properties. * Add pytest mark for helpers in single class classifier test * feat(learning classifier) | syntethic data generator (#24) * Downgrade Faker to 24.2.0 and update lock files * Add single class classifier synthetic data generator This commit message succinctly describes the main addition in the diff, which is a new feature for generating synthetic data for single class classifiers. * Add instructor package and create synthetic data generator notebook * Convert dataset to LMDemo objects for dict and synthetic data types * Add 'datasets' to required packages in single_class_classifier notebook * Add single class classifier notebook with synthetic data * Add single class classifier notebook with synthetic data * Add environment setup and Zenbase import * Remove parea-ai package from installation list * Bump version to 0.0.6 * Update predefined prompts cookbooks section in README
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