Classify data into multiple outcomes.
e.g. categorize weather based on wind speed and humidity amongst other attributes.
Classify data into a binary outcome.
e.g. categorize live sales activity as fraudulent or valid.
Predict a numerical value.
e.g. predict train fares based on ticket type, time and distance.
SlyceAI helps you create machine learning models using your custom training data sets without the time-consuming and costly expense of developing a bespoke ML solution from scratch. Get up and running with a fully functioning API endpoint in minutes.
SlyceAI accepts text based based training data containing input columns and the required output column.
No need to remove columns before import as all columns can be uploaded and only the columns required for training will be used.
As with all machine learning the training data needs to be as balanced as possible and clean of any duplicates before uploading.
Choose either a Classification or Number Prediction model type.
Select one or more columns to use as inputs and a single column for the output.
Instruct SlyceAI to train the model, sit back and we will do the rest.
Once trained you can determine if the accuracy is acceptable, if not then you can adjust the combination of input columns and re-train without having to import the training file again.
Key features and benefits
Once trained the model can be executed in the UI using the built in SlyceAI prediction tool where you can manually test the model.
Publish the model to its own dedicated RESTful API endpoint (restricted with API keys) which can then be integrated into your software or website.
Key features and benefits
SlyceAI is currently in pre-production - we would love to hear what you would like to build with SlyceAI and any features you'd like to see.
If you want to be involved or try out the pre-production version please fill out the contact form below.
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