Welcome to thnkrAI’s Pricing Model and SDK documentation.
thnkrAI allows you to conduct detailed pricing analysis on any kind of product or product datasets you want in an easy and accessible way. thnkrAI’s pricing model can bring enabling price predictions, discovery, and insights to your data.
Use the thnkrAI SDK to quickly read product information and predict prices using the model’s price prediction endpoint.
thnkrAI’s General Pricing Model
Model Description: Text-to-Price Model takes in product data from everyday consumer products and predicts an estimated price based on that information.
Model Type: Natural Language Processing (NLP); Regression Model
Model Input: String of product data (title/description)
Model Output: Numerical float as the predicted price ($USD)
Key Features: Natural Language Processing, Character vectorization, Regression.
Model Evaluation: Evaluated using Mean Absolute Percentage Error (MAPE), R-Squared (R2), and Mean Squared Error (MSE).
To upgrade to latest version with PyPi:
!pip install --upgrade thnkrSDK
!pip install thnkrSDK
LICENSE: MIT