README.md

metadata

license: mit
language:
  - en
library_name: transformers
pipeline_tag: tabular-classification
inference: true

My Model

This is a model for predicting issue resolution times based on various features. It uses an LSTM neural network for classification.

How to use

import tensorflow as tf
from keras.models import load_model

# Load the model
model = load_model("my_model.h5")

# Prepare your input data (example)
# X = ...

# Predict
predictions = model.predict(X)
Model Details

Framework: TensorFlow / Keras / Bert Input features: Text and numerical features Output: Duration category (short, medium, long) Performance

Precision: 0.9969 Recall: 0.9985 F1 Score: 0.9977 """