metric-learn | Metric learning algorithms in Python | Machine Learning library

import tensorflow as tf
from tf_metric_learning.utils.recall import AnnoyEvaluatorCallback

evaluator = AnnoyEvaluatorCallback(
    base_network,
    {"images": test_images[:divide], "labels": test_labels[:divide]}, # images stored to index
    {"ima  

@misc{sinclair2020adaptive,
      title={Adaptive Discretization for Model-Based Reinforcement Learning}, 
      author={Sean R. Sinclair and Tianyu Wang and Gauri Jain and Siddhartha Banerjee and Christina Lee Yu},
      year={2020},
      eprint={2  

cub200                                         
└───train
|    └───0
|           │   xxx.jpg
|           │   ...
|
|    ...
|
|    └───99
|           │   xxx.jpg
|           │   ...

└───test
|    └───100
|           │   xxx.jpg
|           │   ...
|  

"""
=======================================
Metrics specific to imbalanced learning
=======================================

Specific metrics have been developed to evaluate classifier which
has been trained using imbalanced data. :mod:`imblearn` pro