From a344c3551fb9f3f7fa1dc8b38e55d7ff23a3c932 Mon Sep 17 00:00:00 2001
From: Tim O'Donnell <timodonnell@gmail.com>
Date: Mon, 27 Jan 2020 07:56:57 -0500
Subject: [PATCH] fix
---
.../data_evaluation/join_with_precomputed.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/downloads-generation/data_evaluation/join_with_precomputed.py b/downloads-generation/data_evaluation/join_with_precomputed.py
index 9b2c9359..8a6bdbbf 100644
--- a/downloads-generation/data_evaluation/join_with_precomputed.py
+++ b/downloads-generation/data_evaluation/join_with_precomputed.py
@@ -75,7 +75,7 @@ def run():
predictions_dfs = {}
- if 'netmhcpan4.ba' in args.predictor:
+ if 'netmhcpan4.ba' in args.predictors:
predictions_dfs['netmhcpan4.ba'] = load_results(
get_path("data_mass_spec_benchmark", "predictions/all.netmhcpan4.ba"),
result_df=pandas.DataFrame(
@@ -84,7 +84,7 @@ def run():
columns=lambda s: s.replace("affinity", "").strip())
predictions_dfs['netmhcpan4.ba'] *= -1
- if 'netmhcpan4.el' in args.predictor:
+ if 'netmhcpan4.el' in args.predictors:
predictions_dfs['netmhcpan4.el'] = load_results(
get_path("data_mass_spec_benchmark", "predictions/all.netmhcpan4.el"),
result_df=pandas.DataFrame(
@@ -92,7 +92,7 @@ def run():
columns=["%s score" % a for a in alleles])).rename(
columns=lambda s: s.replace("score", "").strip())
- if 'mixmhcpred' in args.predictor:
+ if 'mixmhcpred' in args.predictors:
predictions_dfs['mixmhcpred'] = load_results(
get_path("data_mass_spec_benchmark", "predictions/all.mixmhcpred"),
result_df=pandas.DataFrame(
--
GitLab