slang.snip_stats¶
Snip statistics functions
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class
slang.snip_stats.
BayesFactors
(pseudocount=0, tag_order=None, alphabet_size=None)[source]¶ BayesFactors classifier with sklearn-like interface. predict_probas are the log2 of the bayes factor. It is sklearn-like, but to avoid depending on sklearn, it isn’t a subclass of BaseEstimator and ClassifierMixin. It just has the essentials of the classifier: a fit, a predict_proba and a derived predict method, and a classes_ attribute that indices the columns of the predict_proba matrix.
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slang.snip_stats.
bar_plot_of_tag_snip_stats
(snip_stats_for_tag, snips_to_str=None, figsize=(14, 10), snip_order=None, tag_order=None, output_fig=False, ylabel_fontsize=None, ylabel_rotation=90)[source]¶ Multiplot of snip count bars for each tag (in a different row). First row is the total count for each snip. :param snip_count_for_tag: {tag: {snip: count, …},…} nested dict :param snips_to_str: A function that transforms snip lists into strings (mapping each snip to a character) :param figsize: :param output_fig: :param tag_order: Serves both to specify an order of the tags, and to specify a subset of tags if we don’t want all :param ylabel_rotation: Will be applied to the ylabel :return:
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slang.snip_stats.
df_of_snip_count_for_tag
(snip_count_for_tag, snips_to_str=None, fillna=0, tag_order=None)[source]¶ A df representation of snip_count_for_tag :param snip_count_for_tag: {tag: {snip: count, …},…} dict :param snips_to_str: A function that transforms snip lists into strings (mapping each snip to a character) :param fillna: What to fill missing values with :param tag_order: Serves both to specify an order of the tags, and to specify a subset of tags if we don’t want all :return: A dataframe of snip (in rows) counts for each tag (in columns)
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slang.snip_stats.
plot_snip_count_for_tag
(snip_count_for_tag, snips_to_str=None, figsize=(14, 10), tag_order=None, output_fig=False, ylabel_fontsize=None, ylabel_rotation=90)[source]¶ Multiplot of snip count bars for each tag (in a different row). First row is the total count for each snip. :param snip_count_for_tag: {tag: {snip: count, …},…} nested dict :param snips_to_str: A function that transforms snip lists into strings (mapping each snip to a character) :param figsize: :param output_fig: :param tag_order: Serves both to specify an order of the tags, and to specify a subset of tags if we don’t want all :param ylabel_rotation: Will be applied to the ylabel :return: