Remove krippendorff dependency, see #14

jamie/__init__.py

@@ -2,7 +2,6 @@
 
 import json
 import collections
-import krippendorff
 import pandas as pd
 import numpy as np
 from pathlib import Path
@@ -19,7 +18,7 @@
 import jamie.predict
 import jamie.reports
 from jamie.information_gain import _information_gain
-from jamie.lib import connect_mongo, arrow_table, check_nltk_download, setup_messages
+from jamie.lib import connect_mongo, check_nltk_download, setup_messages
 
 NLTK_DATA = ["stopwords", "punkt"]
 
@@ -230,7 +229,7 @@ def distribution(self, kind):
         print("Total:", data.frequency.sum())
 
     def reliability(self, snapshot=None):
-        "Inter-rater reliability of training set ratings"
+        "Prepare data for input into inter-rater reliability program"
         # Select snapshot if specified or most recent training snapshot
         snapshot = (
             snapshot or jamie.snapshots.TrainingSnapshotCollection().most_recent()
@@ -244,17 +243,4 @@ def reliability(self, snapshot=None):
             list(snapshot.data["tags_2"]),
             list(snapshot.data["tags_3"]),
         ]
-        _reliability = [
-            (
-                "Krippendorff's alpha (ordinal)",
-                krippendorff.alpha(reliability_data, level_of_measurement="ordinal"),
-            )
-        ]
-        del reliability_data[-1]  # drop third coder
-        _reliability.append(
-            (
-                "Krippendorff's alpha -- two coders (ordinal)",
-                krippendorff.alpha(reliability_data, level_of_measurement="ordinal"),
-            )
-        )
-        return arrow_table(_reliability)
+        return json.dumps(reliability_data)

setup.py

@@ -11,7 +11,6 @@
     packages=["jamie", "jamie.scrape", "jamie.features", "jamie.data"],
     install_requires=[
         "chevron",  # mustache templating
-        "krippendorff",  # reliability calculations
         "matplotlib",
         "pymongo>=3.4.0",
         "fire",  # command line interface