AI models simplified and implemented
Reason this release was yanked:
PIP ISSUES
Project description
## How to initialize the ML_Model class:
from pollai import ML_Model # Can also be * (which imports all classes and functions)
model = ML_Model(training_data) # params: self, training_data
Training the model
from pollai import ML_Model # Can also be * (which imports all classes and functions)
model = ML_Model(training_data) # initialize the model first
model.train() # no params required. trains the model
Running the model
from pollai import ML_Model # Can also be * (which imports all classes and functions)
model = ML_Model(training_data) # initialize the model first
model.train() # train the model first to avoid the TrainingException exception.
Exceptions:
TrainingException:
Exception when training is incomplete or not implemented at all. The model needs to be trained to produce the expected accurate results.
Imperfections in AI
Don't get me wrong, AI is amazing. However, it could use improvements. PollAI is imperfect too! Machine learning, Rule based, any AI model has imperfections and can be improved. For example, Machine Learning requires lots of computational resources and Rule based models are constantly inaccurate.
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