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The find() Method

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Description

The find() method is used to get predictions from the model table. The data is not persistent - it is returned on the fly as a result-document.

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Syntax

Here is the syntax: 
db.predictor_name.find({column: "value", column: "value"});
On execution, we get: 
{
    "column_name1" : "value",
    "column_name2": "value",
    ...columns
    "select_data_query": null,
    "when_data": null,
    "target_name_original": "value",
    "target_name_confidence": "value",
    "target_name_explain": "{\"predicted_value\": value, \"confidence\": value, \"anomaly\": null, \"truth\": null, \"confidence_lower_bound\": value \"confidence_upper_bound\": value}",
    "target_name_anomaly": "value",
    "target_name_min": "value",
    "target_name_max": "value"
}
Where:
ExpressionsDescription
"target_name_original"The real value of the target variable from the collection.
"target_name_confidence"Model confidence.
"target_name_explain"JSON object that contains additional information, such as predicted_value, confidence, anomaly, truth, confidence_lower_bound, confidence_upper_bound.
"target_name_anomaly"Model anomaly.
"target_name_min"Lower bound value.
"target_name_max"Upper bound value.

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Example

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Making a Single Prediction

The following MQL statement fetches the predicted value of the rental_price column from the home_rentals_model model. The predicted value is the rental price of a property with attributes listed as a parameter to the find() method. 
db.home_rentals_model.find({sqft: "823", location: "good", neighborhood: "downtown", days_on_market: "10"});
On execution, we get: 
{
  "sqft": 823,
  "location": "good",
  "neighborhood": "downtown",
  "days_on_market": 10,
  "number_of_rooms": null,
  "number_of_bathrooms": null,
  "initial_price": null,
  "rental_price": 1431.323795180614,
  "select_data_query": null,
  "when_data": null,
  "rental_price_original": null,
  "rental_price_confidence": 0.99,
  "rental_price_explain": "{\"predicted_value\": 1431.323795180614, \"confidence\": 0.99, \"anomaly\": null, \"truth\": null, \"confidence_lower_bound\": 1379.4387560440227, \"confidence_upper_bound\": 1483.2088343172054}",
  "rental_price_anomaly": null,
  "rental_price_min": 1379.4387560440227,
  "rental_price_max": 1483.2088343172054
}

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Making Bulk Predictions

Bulk Predictions WIPThe bulk predictions is a work in progress.