Updated the Model

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.largefile filter=lfs diff=lfs merge=lfs -text

k_nearest_model.joblib

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logistic_regression_model.joblib

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model_hub.json

@@ -1 +1 @@
-{"model_id": "prabinpanta0/Patient-Readmission-Prediction", "model_type": "sequence-classification", "model_architectures": {"random_forest": "RandomForestClassifier", "logistic_regression": "LogisticRegression", "k_nearest": "KNeighborsClassifier", "svc": "SVC", "naive_bayes": "MultinomialNB", "neural_network": "NeuralNetwork"}, "model_paths": {"random_forest": "pretrained/random_forest_model.joblib", "logistic_regression": "pretrained/logistic_regression_model.joblib", "k_nearest": "pretrained/k_nearest_model.joblib", "svc": "pretrained/svc_model.joblib", "naive_bayes": "pretrained/naive_bayes_model.joblib", "neural_network": "pretrained/neural_network_model.keras"}, "model_classes": {"random_forest": "RandomForestClassifier", "logistic_regression": "LogisticRegression", "k_nearest": "KNeighborsClassifier", "svc": "SVC", "naive_bayes": "MultinomialNB", "neural_network": "NeuralNetwork"}, "model_configs": {"random_forest": {"n_estimators": 100, "max_depth": 5}, "logistic_regression": {"C": 1.0, "max_iter": 1000}, "k_nearest": {"n_neighbors": 5}, "svc": {"C": 1.0, "kernel": "linear"}, "naive_bayes": {"alpha": 1.0}, "neural_network": {"input_dim": 10, "output_dim": 1, "hidden_dim": 10}}}
+{"model_id": "prabinpanta0/Patient-Readmission-Prediction", "model_type": "sequence-classification", "model_architectures": {"random_forest": "RandomForestClassifier", "logistic_regression": "LogisticRegression", "k_nearest": "KNeighborsClassifier", "svc": "SVC", "naive_bayes": "MultinomialNB", "neural_network": "NeuralNetwork", "cross_validation_random_forest": "RandomForestClassifier", "cross_validation_logistic_regression": "LogisticRegression", "cross_validation_lightgbm": "LGBMClassifier"}, "model_paths": {"random_forest": "Patient-Readmission-Prediction/random_forest_model.keras", "logistic_regression": "Patient-Readmission-Prediction/logistic_regression_model.keras", "k_nearest": "Patient-Readmission-Prediction/k_nearest_model.keras", "svc": "Patient-Readmission-Prediction/svc_model.keras", "naive_bayes": "Patient-Readmission-Prediction/naive_bayes_model.keras", "neural_network": "Patient-Readmission-Prediction/neural_network_model.keras", "cross_validation_random_forest": "Patient-Readmission-Prediction/cross_validation_random_forest_model.keras", "cross_validation_logistic_regression": "Patient-Readmission-Prediction/cross_validation_logistic_regression_model.keras", "cross_validation_lightgbm": "Patient-Readmission-Prediction/cross_validation_lightgbm_model.keras"}, "model_classes": {"random_forest": "RandomForestClassifier", "logistic_regression": "LogisticRegression", "k_nearest": "KNeighborsClassifier", "svc": "SVC", "naive_bayes": "MultinomialNB", "neural_network": "NeuralNetwork", "cross_validation_random_forest": "RandomForestClassifier", "cross_validation_logistic_regression": "LogisticRegression"}, "model_configs": {"random_forest": {"n_estimators": 100, "max_depth": 5}, "logistic_regression": {"C": 1.0, "max_iter": 1000}, "k_nearest": {"n_neighbors": 5}, "svc": {"C": 1.0, "kernel": "linear"}, "naive_bayes": {"alpha": 1.0}, "neural_network": {"input_dim": 10, "output_dim": 1, "hidden_dim": 10}, "cross_validation_random_forest": {"n_estimators": 100, "max_depth": 5}, "cross_validation_logistic_regression": {"C": 1.0, "max_iter": 1000}, "cross_validation_lightgbm": {"random_state": 42}}}

naive_bayes_model.joblib

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random_forest_model.joblib

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svc_model.joblib

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