addData-Collection-method | This is the basic training endpoint. Given a piece of text... |
analyze_image | Returns multiple image API results in a single request /... |
analyze_text | Returns multiple text API results in a single request /... |
clear-Collection-method | This is an API made to remove all of the data associated from... |
Collection-class | A class description |
collections | This is a status report endpoint. It is used to get the... |
content_filtering | Detects NSFW content in an image |
convert_results | Converts response list to one that uses user inputted api... |
emotion | Detects emotion of the text |
face_emotion | Detects face emotion |
facial_features | Detects facial features |
facial_localization | Detects faces |
format_image | Returns a response from the indico API endpoint |
format_images | Returns a list of 'data.frame's given a list of input images |
image_features | Detects image features |
image_recognition | Detects image recognition |
info-Collection-method | Return the current state of the model associated with a given... |
intersections | Returns strength of correlation between API results |
keywords | Tags text with likely keywords |
language | Detects language of the text |
make_request | Returns a response from the indico API endpoint |
organizations | Finds the names of organizations in the input text |
people | Finds the names and titles of people in the input text |
personality | Predicts a score between 0 and 1 for 4 personality traits for... |
personas | Predicts the likelyhood the author of the text is 16... |
places | Finds the names of places in the input text |
political | Returns a probability distribution over the political... |
predict-Collection-method | This is the prediction endpoint. This will be the primary... |
relevance | Determines how relevant a query string is to a given document |
remove_example-Collection-method | This is an API made to remove a single instance of training... |
request_url | Returns the url for the proper indico API |
sentiment | Returns a scalar estimate of the sentiment of the text |
sentiment_hq | Returns a scalar estimate of the sentiment of the text |
text_features | Transforms text inputs into numerical features |
text_tags | Tags text with likely categories |
train-Collection-method | This is the basic training endpoint. Given an existing... |
twitter_engagement | Returns a float indicating engagement score for the text |
wait-Collection-method | Block until the collection's model is completed training |
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