def __init__(self, tokenize):
self.tokenize = tokenize
nof_docs = {
"pos": sum(1 for _ in docs("train", "pos")),
"neg": sum(1 for _ in docs("train", "neg")),
}
nof_docs_total = sum(nof_docs.values())
voc = vocabulary(self.tokenize)
self.dict = {
"pos": {
"counter": voc["pos"]
},
"neg": {
"counter": voc["neg"]
}
}
for feel in self.dict:
self.dict[feel]["nof_tokens"] = sum(
self.dict[feel]["counter"].values())
self.dict[feel]["log_prob"] = math.log(nof_docs[feel] /
nof_docs_total)
set_pos = set(self.dict["pos"]["counter"])
set_neg = set(self.dict["neg"]["counter"])
set_total = set_pos | set_neg
self.dict["voc_size"] = len(set_total)
def measure(classifier, dataset: str = "test", alpha: int = 1):
marks_pos = [classifier.is_pos(f, alpha) for f in docs(dataset, "pos")]
marks_neg = [classifier.is_pos(f, alpha) for f in docs(dataset, "neg")]
ms = measure_metrics(marks_pos, marks_neg)
print(f" | Precision | Recall | F-measure")
print(f' Micro | {ms["P_micro"]:9.2f} | {ms["R_micro"]:6.2f} | {ms["F_micro"]:8.2f}')
print(f' Macro | {ms["P_macro"]:9.2f} | {ms["R_macro"]:6.2f} | {ms["F_macro"]:8.2f}')
print()
return marks_pos, marks_neg
def vocabulary(tokenize):
vocab = {
"pos": Counter(),
"neg": Counter(),
}
for feel, counter in vocab.items():
for doc in docs("train", feel):
counter += tokenize(doc)
return vocab
def dump_debug():
"""Debug screen (active routes)"""
if not app.settings.debug:
abort(400, "Access Denied")
app.template_vars.update({
'title': 'Debug information',
'modules': utils.docs(bottle_default_app())
})
return app.template_vars
def dump_debug():
"""Debug screen (active routes)"""
if not app.settings.debug:
abort(400, "Access Denied")
app.template_vars.update({
'title': 'Debug information',
'modules': utils.docs(bottle_default_app())
})
return app.template_vars
def index_word_appearancefraction():
vocabulary = set()
sets = (list(), list())
for i, feel in enumerate(["pos", "neg"]):
for doc in docs(feel=feel):
toks = tokens(doc)
vocabulary |= toks
sets[i].append(toks)
return {
"index": {
word: (sum(1 for s in sets[0]
if word in s), sum(1 for s in sets[1] if word in s))
for word in vocabulary
},
"total_nof_docs": tuple([len(s) for s in sets]),
}
def send_doc_wrapper(path):
"""Render documentation for a specific API module"""
docs = utils.docs()
if path in docs:
return {"title": path.title(), "docs": docs[path]}
abort(404,"Not Found")
def send_doc_wrapper(path):
"""Render documentation for a specific API module"""
docs = utils.docs()
if path in docs:
return {"title": path.title(), "docs": docs[path]}
abort(404, "Not Found")
def dump_debug():
"""Debug screen (active routes)"""
if not app.config.debug:
abort(400, "Access Denied")
app.template_vars.update({"title": "Debug information", "modules": utils.docs(bottle_default_app())})
return app.template_vars
