Goal

  • re-implement the evaluation metric

Tasks

  • [ ]

Required files

-

In [1]:
# Imports
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
from basepair.imports import *
hv.extension('bokeh')

Using TensorFlow backend.
/users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/concise/utils/plot.py:115: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.
  min_coords = np.vstack(data.min(0) for data in polygons_data).min(0)
/users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/concise/utils/plot.py:116: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.
  max_coords = np.vstack(data.max(0) for data in polygons_data).max(0)
In [2]:
# Common paths
model_dir = Path(f"{ddir}/processed/chipnexus/exp/models/oct-sox-nanog-klf/models/n_dil_layers=9/")
modisco_dir = model_dir / f"modisco/all/profile/"
output_dir = Path("/srv/www/kundaje/avsec/chipnexus/oct-sox-nanog-klf/models/n_dil_layers=9/modisco/all/profile")
In [3]:
# create_tf_session(0)
In [5]:
from gin_train.metrics import MetricsDict
In [ ]: