Naming mismatch for LogisticMatrixFactorization and LogisticMF

[omgwenxx]

Describe the bug
There is a mismatch in the naming for LogisticMatrixFactorization. Using LogisticMatrixFactorization as stated in the docs returns an AttributeError

Using LogisticMF returns a TypeError due to the naming mismatch with the class (I assume)

Using this config:

experiment:
  backend: pytorch
  binarize: true
  data_config:
    strategy: fixed
    test_path: ./hm_splits_test/test_indexed.tsv
    train_path: ./hm_splits_test/train_indexed.tsv
  dataset: hm
  evaluation:
    cutoffs:
    - 5
    - 12
    simple_metrics:
    - nDCG
    - MAP
  gpu: 0
  models:
    LogisticMF:
      alpha: 0.5
      batch_size: 512
      epochs: 10
      factors: 10
      lr: 0.001
      meta:
        save_recs: true
      reg: 0.1
  top_k: 12

BR,
Gwen