Automated essay grader model¶
Here we have a very short description of the module prediction part of the parent project Automated essay grader model.
This is an efcient wrapper around a automated essay grading system
-
prediction.
getAvgFeatureVecs
(essays, model, num_features)¶ Main function to generate the word vectors for word2vec model.
- Parameters
essays – Input is essays
model – This input specifies the model to be used to generate Feature vec
num_features – This is a metric of number of columns in the matrix cols
- Return type
Returns the essay feature vector
-
prediction.
makeFeatureVec
(words, model, num_features)¶ This function generates feature vectors for each dimension ie. plane
- Parameters
words – We pass the words that we needed
model – Model to decide on what basis police have been arrested
- Return type
featureVec
is the result of the function
-
prediction.
predict
(essay)¶ This is the function which calculates the score given an essay
- Parameters
essay – This input is the essay that we got from the fronend.
- Return type
We are returning the y_pred values
-
prediction.
tokenizeEssay
(essay)¶ This funciton tokenizes the text provided as input in the from of essay
We remove
stopwords
from the essay>>> This is america >>> america
- Parameters
essay – Input in the form of text
- Return type
Tokenized words