From a shell on a suitable Linux machine (tested on Ubuntu 22.04):
Clone the repo
git clone https://github.com/david-thrower/cerebros-core-algorithm-alpha.git
cd into it: cd cerebros-core-algorithm-alpha
install all required packages: pip3 install -r requirements.txt
Run the Ames housing data example:
python3 regression-example-ames-no-preproc.py
Let's look at the example: regression-example-ames-no-preproc.py, which is in the main folder of this repo:
Import packages
import numpy as np
# from multiprocessing import Pool # , Process
from cerebros.simplecerebrosrandomsearch.simple_cerebros_random_search\
import SimpleCerebrosRandomSearch
import pendulum
import pandas as pd
import tensorflow as tf
from cerebros.units.units import DenseUnit
from cerebros.denseautomlstructuralcomponent.dense_automl_structural_component\
import zero_7_exp_decay, zero_95_exp_decay, simple_sigmoid
from ast import literal_evalSet how much compute resources you want to spend (Cerebros will build and train a number of models that is the product of these 2 numbers)
NUMBER_OF_TRAILS_PER_BATCH = 2
NUMBER_OF_BATCHES_OF_TRIALS = 2Set up project and load data
## Set a project name:
TIME = pendulum.now().__str__()[:16]\
.replace('T', '_')\
.replace(':', '_')\
.replace('-', '_')
PROJECT_NAME = f'{TIME}_cerebros_auto_ml_test'
# Read in the data
raw_data = pd.read_csv('ames.csv')
# Rather than doing elaborate preprocessing, let's just drop all the columns
# that aren't numbers and impute 0 for anything missing
needed_cols = [
col for col in raw_data.columns if raw_data[col].dtype != 'object']
data_numeric = raw_data[needed_cols].fillna(0).astype(float)
label = raw_data.pop('price')
# Convert to numpy
data_np = data_numeric.values
# convert to a tensor
tensor_x =\
tf.constant(data_np)
# Since Cerebros allows multiple inputs, the inputs are a list of tenors, even if there is just 1
training_x = [tensor_x]
# Shape if the trining data [number of rows,number of columns]
INPUT_SHAPES = [training_x[i].shape[1] for i in np.arange(len(training_x))]
train_labels = [label.values]
# Labels are a list of numbers, shape is the length of it
OUTPUT_SHAPES = [1] # [train_labels[i].shape[1]Cerebros hyperparameters
# Params for Cebros training (Approximately the oprma
# discovered in a bayesian tuning study done on Katib
# for this data set)
# In distributed training set this to a random number, otherwise,
# you can just set it to 0. (it keeps file names unique when this runs multiple
# times with the same project, like we would in distributed training.)
meta_trial_number = 0 # In distributed training set this to a random number
# For the rest of these parameters, these are the tunable hyperparameters.
# We recommend searching a broad but realistic search space on these using a
# suitable tuner such as Katib on Kubeflow, Optuna, ray, etc.
activation = "gelu"
predecessor_level_connection_affinity_factor_first = 19.613
predecessor_level_connection_affinity_factor_main = 0.5518
max_consecutive_lateral_connections = 34
p_lateral_connection = 0.36014
num_lateral_connection_tries_per_unit = 11
learning_rate = 0.095
epochs = 145
batch_size = 634
maximum_levels = 5
maximum_units_per_level = 5
maximum_neurons_per_unit = 25Instantiate an instance of Cerebros Neural Architecture Search (NAS)
cerebros =\
SimpleCerebrosRandomSearch(
unit_type=DenseUnit,
input_shapes=INPUT_SHAPES,
output_shapes=OUTPUT_SHAPES,
training_data=training_x,
labels=train_labels,
validation_split=0.35,
direction='minimize',
metric_to_rank_by='val_root_mean_squared_error',
minimum_levels=1,
maximum_levels=maximum_levels,
minimum_units_per_level=1,
maximum_units_per_level=maximum_units_per_level,
minimum_neurons_per_unit=1,
maximum_neurons_per_unit=maximum_neurons_per_unit,
activation=activation,
final_activation=None,
number_of_architecture_moities_to_try=7,
number_of_tries_per_architecture_moity=1,
number_of_generations=3,
minimum_skip_connection_depth=1,
maximum_skip_connection_depth=7,
predecessor_level_connection_affinity_factor_first=predecessor_level_connection_affinity_factor_first,
predecessor_level_connection_affinity_factor_first_rounding_rule='ceil',
predecessor_level_connection_affinity_factor_main=predecessor_level_connection_affinity_factor_main,
predecessor_level_connection_affinity_factor_main_rounding_rule='ceil',
predecessor_level_connection_affinity_factor_decay_main=zero_7_exp_decay,
seed=8675309,
max_consecutive_lateral_connections=max_consecutive_lateral_connections,
gate_after_n_lateral_connections=3,
gate_activation_function=simple_sigmoid,
p_lateral_connection=p_lateral_connection,
p_lateral_connection_decay=zero_95_exp_decay,
num_lateral_connection_tries_per_unit=num_lateral_connection_tries_per_unit,
learning_rate=learning_rate,
loss='mse',
metrics=[tf.keras.metrics.RootMeanSquaredError()],
epochs=epochs,
patience=7,
project_name=f"{PROJECT_NAME}_meta_{meta_trial_number}",
# use_multiprocessing_for_multiple_neural_networks=False, # pull this param
model_graphs='model_graphs',
batch_size=batch_size,
meta_trial_number=meta_trial_number)Run the Neural Architecture Search and get results back.
result = Cerebros.run_random_search()
print("Best model: (May need to re-initialize weights, and retrain with early stopping callback)")
best_model_found = Cerebros.get_best_model()
print(best_model_found.summary())
print("result extracted from Cerebros")
print(f"Final result was (val_root_mean_squared_error): {result}")- Ames housing data set, not pre-processed or scaled:
- House sell price predictions, val_rmse $169.04592895507812.
- The mean sale price in the data was $180,796.06.
- Val set RMSE was 0.00935% the mean sale price. No, there's not an extra 0 in there, yes, you are reading it right.
- There was no pre-trained base model. The data in ames.csv is the only data any of the model's weights has ever seen.
...
Best result this trial was: 169.04592895507812
Type of best result: <class 'float'>
Best medel name: 2023_01_12_23_42_cerebros_auto_ml_test_meta_0/models/tr_0000000000000006_subtrial_0000000000000000
Best model: (May need to re-initialize weights, and retrain with early stopping callback)
Model: "NeuralNetworkFuture_0000000000000nan_tr_6_nn_materialized"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
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00nan_tr_6_DenseLevel_00000000000
00001_tr_6_DenseUnit_000000000000
0001_tr_6_0_dns_[0][0]']
NeuralNetworkFuture_0000000000 (None, 144) 576 ['NeuralNetworkFuture_00000000000
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000000002_tr_6_DenseUnit_00000 00002_tr_6_DenseUnit_000000000000
00000000002_tr_6_2_btn_ (Batch 0002_tr_6_2_cat_[0][0]']
Normalization)
NeuralNetworkFuture_0000000000 (None, 11) 1595 ['NeuralNetworkFuture_00000000000
000nan_tr_6_DenseLevel_0000000 00nan_tr_6_DenseLevel_00000000000
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00000000002_tr_6_2_dns_ (Dense 0002_tr_6_2_btn_[0][0]']
)
NeuralNetworkFuture_0000000000 (None, 151) 0 ['NeuralNetworkFuture_00000000000
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00000000002_tr_6_3_cat_ (Conca 0002_tr_6_2_dns_[0][0]',
tenate) 'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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00000_tr_6_InputUnit_000000000000
0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
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00001_tr_6_DenseUnit_000000000000
0001_tr_6_0_dns_[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_InputLevel_00000000000
00000_tr_6_InputUnit_000000000000
0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_DenseLevel_00000000000
00001_tr_6_DenseUnit_000000000000
0001_tr_6_1_dns_[0][0]']
NeuralNetworkFuture_0000000000 (None, 151) 604 ['NeuralNetworkFuture_00000000000
000nan_tr_6_DenseLevel_0000000 00nan_tr_6_DenseLevel_00000000000
000000002_tr_6_DenseUnit_00000 00002_tr_6_DenseUnit_000000000000
00000000002_tr_6_3_btn_ (Batch 0002_tr_6_3_cat_[0][0]']
Normalization)
NeuralNetworkFuture_0000000000 (None, 11) 1672 ['NeuralNetworkFuture_00000000000
000nan_tr_6_DenseLevel_0000000 00nan_tr_6_DenseLevel_00000000000
000000002_tr_6_DenseUnit_00000 00002_tr_6_DenseUnit_000000000000
00000000002_tr_6_3_dns_ (Dense 0002_tr_6_3_btn_[0][0]']
)
NeuralNetworkFuture_0000000000 (None, 250) 0 ['NeuralNetworkFuture_00000000000
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00000000002_tr_6_4_cat_ (Conca 0002_tr_6_3_dns_[0][0]',
tenate) 'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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0002_tr_6_2_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_2_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_2_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_2_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_2_dns_[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_DenseLevel_00000000000
00002_tr_6_DenseUnit_000000000000
0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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00002_tr_6_DenseUnit_000000000000
0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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00002_tr_6_DenseUnit_000000000000
0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_InputLevel_00000000000
00000_tr_6_InputUnit_000000000000
0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_DenseLevel_00000000000
00001_tr_6_DenseUnit_000000000000
0001_tr_6_0_dns_[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_InputLevel_00000000000
00000_tr_6_InputUnit_000000000000
0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_DenseLevel_00000000000
00001_tr_6_DenseUnit_000000000000
0001_tr_6_0_dns_[0][0]']
NeuralNetworkFuture_0000000000 (None, 250) 1000 ['NeuralNetworkFuture_00000000000
000nan_tr_6_DenseLevel_0000000 00nan_tr_6_DenseLevel_00000000000
000000002_tr_6_DenseUnit_00000 00002_tr_6_DenseUnit_000000000000
00000000002_tr_6_4_btn_ (Batch 0002_tr_6_4_cat_[0][0]']
Normalization)
NeuralNetworkFuture_0000000000 (None, 15) 3765 ['NeuralNetworkFuture_00000000000
000nan_tr_6_DenseLevel_0000000 00nan_tr_6_DenseLevel_00000000000
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00000000002_tr_6_4_dns_ (Dense 0002_tr_6_4_btn_[0][0]']
)
NeuralNetworkFuture_0000000000 (None, 150) 0 ['NeuralNetworkFuture_00000000000
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000000003_tr_6_DenseUnit_00000 00000_tr_6_InputUnit_000000000000
00000000003_tr_6_1_cat_ (Conca 0000_tr_6_0_inp[0][0]',
tenate) 'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
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00001_tr_6_DenseUnit_000000000000
0001_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_2_dns_[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_DenseLevel_00000000000
00002_tr_6_DenseUnit_000000000000
0002_tr_6_4_dns_[0][0]']
NeuralNetworkFuture_0000000000 (None, 150) 600 ['NeuralNetworkFuture_00000000000
000nan_tr_6_DenseLevel_0000000 00nan_tr_6_DenseLevel_00000000000
000000003_tr_6_DenseUnit_00000 00003_tr_6_DenseUnit_000000000000
00000000003_tr_6_1_btn_ (Batch 0003_tr_6_1_cat_[0][0]']
Normalization)
NeuralNetworkFuture_0000000000 (None, 5) 755 ['NeuralNetworkFuture_00000000000
000nan_tr_6_DenseLevel_0000000 00nan_tr_6_DenseLevel_00000000000
000000003_tr_6_DenseUnit_00000 00003_tr_6_DenseUnit_000000000000
00000000003_tr_6_1_dns_ (Dense 0003_tr_6_1_btn_[0][0]']
)
NeuralNetworkFuture_0000000000 (None, 170) 0 ['NeuralNetworkFuture_00000000000
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00000000003_tr_6_2_cat_ (Conca 0003_tr_6_1_dns_[0][0]',
tenate) 'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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0001_tr_6_0_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_3_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_2_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
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0001_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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00002_tr_6_DenseUnit_000000000000
0002_tr_6_4_dns_[0][0]']
NeuralNetworkFuture_0000000000 (None, 170) 680 ['NeuralNetworkFuture_00000000000
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000000003_tr_6_DenseUnit_00000 00003_tr_6_DenseUnit_000000000000
00000000003_tr_6_2_btn_ (Batch 0003_tr_6_2_cat_[0][0]']
Normalization)
NeuralNetworkFuture_0000000000 (None, 9) 1539 ['NeuralNetworkFuture_00000000000
000nan_tr_6_DenseLevel_0000000 00nan_tr_6_DenseLevel_00000000000
000000003_tr_6_DenseUnit_00000 00003_tr_6_DenseUnit_000000000000
00000000003_tr_6_2_dns_ (Dense 0003_tr_6_2_btn_[0][0]']
)
NeuralNetworkFuture_0000000000 (None, 131) 0 ['NeuralNetworkFuture_00000000000
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000000003_tr_6_DenseUnit_00000 00000_tr_6_InputUnit_000000000000
00000000003_tr_6_0_cat_ (Conca 0000_tr_6_0_inp[0][0]',
tenate) 'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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0001_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_3_dns_[0][0]',
'NeuralNetworkFuture_00000000000
00nan_tr_6_DenseLevel_00000000000
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0002_tr_6_3_dns_[0][0]']
NeuralNetworkFuture_0000000000 (None, 223) 0 ['NeuralNetworkFuture_00000000000
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00000000003_tr_6_3_cat_ (Conca 0003_tr_6_2_dns_[0][0]',
tenate) 'NeuralNetworkFuture_00000000000
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0003_tr_6_2_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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0003_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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0003_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0003_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
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0001_tr_6_1_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_4_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_4_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
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0001_tr_6_0_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0002_tr_6_3_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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NeuralNetworkFuture_0000000000 (None, 109) 0 ['NeuralNetworkFuture_00000000000
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00000000002_tr_6_0_cat_ (Conca 0000_tr_6_0_inp[0][0]',
tenate) 'NeuralNetworkFuture_00000000000
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0001_tr_6_0_dns_[0][0]',
'NeuralNetworkFuture_00000000000
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0000_tr_6_0_inp[0][0]',
'NeuralNetworkFuture_00000000000
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00001_tr_6_DenseUnit_000000000000
0001_tr_6_1_dns_[0][0]']
NeuralNetworkFuture_0000000000 (None, 131) 524 ['NeuralNetworkFuture_00000000000
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00000000003_tr_6_0_btn_ (Batch 0003_tr_6_0_cat_[0][0]']
Normalization)
NeuralNetworkFuture_0000000000 (None, 223) 892 ['NeuralNetworkFuture_00000000000
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000000003_tr_6_DenseUnit_00000 00003_tr_6_DenseUnit_000000000000
00000000003_tr_6_3_btn_ (Batch 0003_tr_6_3_cat_[0][0]']
Normalization)
NeuralNetworkFuture_0000000000 (None, 109) 436 ['NeuralNetworkFuture_00000000000
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000000002_tr_6_DenseUnit_00000 00002_tr_6_DenseUnit_000000000000
00000000002_tr_6_0_btn_ (Batch 0002_tr_6_0_cat_[0][0]']
Normalization)
NeuralNetworkFuture_0000000000 (None, 14) 1848 ['NeuralNetworkFuture_00000000000
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000000003_tr_6_DenseUnit_00000 00003_tr_6_DenseUnit_000000000000
00000000003_tr_6_0_dns_ (Dense 0003_tr_6_0_btn_[0][0]']
)
NeuralNetworkFuture_0000000000 (None, 14) 3136 ['NeuralNetworkFuture_00000000000
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000000003_tr_6_DenseUnit_00000 00003_tr_6_DenseUnit_000000000000
00000000003_tr_6_3_dns_ (Dense 0003_tr_6_3_btn_[0][0]']
)
NeuralNetworkFuture_0000000000 (None, 14) 1540 ['NeuralNetworkFuture_00000000000
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00000000002_tr_6_0_dns_ (Dense 0002_tr_6_0_btn_[0][0]']
)
NeuralNetworkFuture_0000000000 (None, 311) 0 ['NeuralNetworkFuture_00000000000
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at_ (Concatenate) 'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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'NeuralNetworkFuture_00000000000
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NeuralNetworkFuture_0000000000 (None, 311) 1244 ['NeuralNetworkFuture_00000000000
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00000000000004_tr_6_FinalDense 0000000004_tr_6_FinalDenseUnit_00
Unit_0000000000000004_tr_6_0_b 00000000000004_tr_6_0_cat_[0][0]'
tn_ (BatchNormalization) ]
NeuralNetworkFuture_0000000000 (None, 1) 312 ['NeuralNetworkFuture_00000000000
000nan_tr_6_FinalDenseLevel_00 00nan_tr_6_FinalDenseLevel_000000
00000000000004_tr_6_FinalDense 0000000004_tr_6_FinalDenseUnit_00
Unit_0000000000000004_tr_6_0_d 00000000000004_tr_6_0_btn_[0][0]'
ns_ (Dense) ]
==================================================================================================
Total params: 84,465
Trainable params: 74,729
Non-trainable params: 9,736
__________________________________________________________________________________________________
None
result extracted from cerebros
Final result was (val_root_mean_squared_error): 169.04592895507812