Use text classifier on unseen data
0
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I've trained a few models to classify between two categories of text. Logistic regression was the best. Now how can i test it on unseen data?
I tried this:
def train_model():
classifier.fit(feature_vector_train, label)
predictions = classifier.predict(feature_vector_valid)
joblib.dump(classifier, url+name)
...
load_mode =joblib.load('my_model.pkl)
result = predict.score('testx')
It tells me i need a y input. However, if it's new i don't have the label. WHat am i missing?
logistic-regression
asked 1 min ago
Bia Calico CatBia Calico Cat
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0
$begingroup$
I've trained a few models to classify between two categories of text. Logistic regression was the best. Now how can i test it on unseen data?
I tried this:
def train_model():
classifier.fit(feature_vector_train, label)
predictions = classifier.predict(feature_vector_valid)
joblib.dump(classifier, url+name)
...
load_mode =joblib.load('my_model.pkl)
result = predict.score('testx')
It tells me i need a y input. However, if it's new i don't have the label. WHat am i missing?
logistic-regression
asked 1 min ago
Bia Calico CatBia Calico Cat
1
New contributor
Bia Calico Cat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
0
0
0
$begingroup$
I've trained a few models to classify between two categories of text. Logistic regression was the best. Now how can i test it on unseen data?
I tried this:
def train_model():
classifier.fit(feature_vector_train, label)
predictions = classifier.predict(feature_vector_valid)
joblib.dump(classifier, url+name)
...
load_mode =joblib.load('my_model.pkl)
result = predict.score('testx')
It tells me i need a y input. However, if it's new i don't have the label. WHat am i missing?
logistic-regression
asked 1 min ago
Bia Calico CatBia Calico Cat
1
New contributor
Bia Calico Cat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I've trained a few models to classify between two categories of text. Logistic regression was the best. Now how can i test it on unseen data?
I tried this:
def train_model():
classifier.fit(feature_vector_train, label)
predictions = classifier.predict(feature_vector_valid)
joblib.dump(classifier, url+name)
...
load_mode =joblib.load('my_model.pkl)
result = predict.score('testx')
It tells me i need a y input. However, if it's new i don't have the label. WHat am i missing?
logistic-regression
logistic-regression
asked 1 min ago
Bia Calico CatBia Calico Cat
1
New contributor
Bia Calico Cat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 min ago
Bia Calico CatBia Calico Cat
1
New contributor
Bia Calico Cat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 min ago
Bia Calico CatBia Calico Cat
1
New contributor
Bia Calico Cat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 min ago
Bia Calico CatBia Calico Cat
1
asked 1 min ago
Bia Calico CatBia Calico Cat
1
1
New contributor
Bia Calico Cat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Bia Calico Cat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Bia Calico Cat is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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