Updates migration with alembic #385

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cristian-tamblay merged 77 commits intodevelopfrom

feature/redo-db-migrations

Feb 24, 2026

Commits on Nov 20, 2025

Commits on Dec 22, 2025

Merge branch 'develop' into feature/redo-db-migrations
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Commits on Dec 23, 2025

Commits on Dec 24, 2025

Update MANIFEST.in to include types folder
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Commits on Jan 7, 2026

Add column type display to DivideDatasetColumns and integrate dataset types in PrepareDatasetStep
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Refactor rendering of tags in DivideDatasetColumns to remove unnecessary size prop from Chip component
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Add column type color display in DivideDatasetColumns and PrepareDatasetStep
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feat: enhance BaseModel with train abstract method and metric calculation functionality

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fix: prevent loading data when x_data or y_data is not set in BaseModel

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feat: add Metric model to store metric information related to runs

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feat: enhance ModelJob and ModelFactory to support metric calculations and data handling

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feat: rename fit method to train in bow text classification model

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feat: add MetricsCallback class for training and validation metric calculations

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feat: refactor training methods and integrate MetricsCallback for performance tracking

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feat: rename fit method to train for consistency with model training conventions in sklearn model

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feat: add live metrics websocket endpoint for real-time metric updates

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feat: add metric deletion on run reset to maintain database integrity

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fix: replace fit with train in tests for consistency

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feat: integrate LiveMetricsChart component to display real-time metrics in ResultsTabInfo

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feat: add metrics per split to Experiment model and update ModelJob to utilize them

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feat: add train, validation, and test metrics to Experiment creation

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feat: implement metrics selection for experiment configuration

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fix: ensure metrics display as fixed decimal values in MetricsCard

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feat: filter metrics in ResultsTable and format values in extractColumns

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style: change position of live metrics to display it before last metrics

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feat: enhance LiveMetricsChart to load and display test metrics via WebSocket

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fix: add metrics placeholders to experiment creation in test files

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fix: remove unnecessary blank line in live_metrics_websocket function

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feat: add function to retrieve train, validation, and test metrics for a run

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refactor: remove commented-out step-level metrics calculation in MetricsCallback

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feat: streamline metric selection and improve chart rendering logic in LiveMetricsChart

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feat: implement PyTorch MLP regression model and update schema fields

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fix: add missing commas for consistency in MetricCard, MetricsSelector, SplitColumn, and LiveMetricsChart components

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feat: enhance OptunaOptimizer to calculate metrics for train and validation data during trials

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feat: enhance HyperOptOptimizer to calculate metrics for train and validation data during optimization trials

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fix: add prepare_to_metric function for preprocessing true and predicted values in regression metrics

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fix: refactor BagOfWordsTextClassificationModel removing SklearnLikeModel inheritance and adding prepare_output method

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fix: remove unused SklearnLikeModel import from BagOfWordsTextClassificationModel

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fix: refactor MLPRegression to flatten model output and include input_dim in save/load methods

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feat: add DESCRIPTION attribute to classification and regression metrics for better clarity

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feat: add support for minimize/maximize indicators in MetricCard component

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feat: add new classification metrics including Cohen Kappa, Hamming Distance, Log Loss, and RoC AUC

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feat: add new regression metrics including MSE, R2, Explained Variance, and Median Absolute Error

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fix: improve description formatting in Median Absolute Error and MSE metrics

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feat: add CHRF metric for translation tasks and update requirements

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fix: add metrics relationship to Run and enhance Metric model with additional fields

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refactor: enhance live_metrics_websocket to structure payload with nested metrics data

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refactor: enhance _save_metrics and calculate_metrics methods to support log_index for better metric tracking

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refactor: add logging configuration for training and validation metrics in DistilBERT and OpusMT models

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refactor: enhance MLPRegressorSchema and MLPRegression for improved metric logging and batch size handling

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refactor: streamline metric retrieval in get_metrics_for_run

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refactor: update LiveMetricsChart to support new metric data structure and improve user selection handling

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refactor: update MetricsCard and ResultsTable for to support new metric data structure

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fix: add logging frequency parameters to distilbert model in test

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refactor: optimize live metrics websocket handling and improve metric data structure

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feat: add initial database migrations for core tables
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docs: enhance database migrations section in README
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Commits on Feb 24, 2026