__main__.py

#!/usr/bin/env python
# coding: utf-8

# In[1]:


import tensorflow as tf
import numpy as np
from tensorflow import keras

import utils
import tfutils
import crossovers
import genomes
import algorithms
import selections
import mutations

from genomes import Genome # GenomeModel, GenomeLayer, 
from algorithms import Base, Neat


# In[2]:


# neat = Neat()
# neat.compile(inputs=4, hidden=2, outputs=4)
# history = neat.fit(func, population=100, generations=50)
# winner = neat.winner


# In[3]:


# base_genome = Genome(a=1)

# def fit_func(genome):
#     genome.fitness = genome.a
#     return genome

# base = Base()
# base.compile_base(base_genome)
# history = base.fit(fit_func)


# In[ ]: