from datascience.ml.metrics import ValidationAccuracyMultipleBySpecies, ValidationMRRBySpecies
from datascience.ml.metrics import ValidationAccuracyRangeBySpecies, ValidationAccuracyForAllSpecies
from datascience.ml.neural.models import load_create_nn, InceptionEnv
from datascience.data.loader import occurrence_loader
from datascience.data.datasets import EnvironmentalDataset
from datascience.ml.neural.supervised import fit
from sklearn.model_selection import train_test_split
from projects.ecography.configs.inception import model_params, training_params
# loading/creating model
model = load_create_nn(model_class=InceptionEnv, model_params=model_params)
# loading dataset
train, val, test = occurrence_loader(EnvironmentalDataset,
source='gbif_taxref',
splitter=train_test_split)
# training model
validation_params = {
'metrics':
(ValidationAccuracyMultipleBySpecies([1, 10,
30]), ValidationMRRBySpecies(),
ValidationAccuracyRangeBySpecies(max_top_k=100, final_validation=True),
ValidationAccuracyForAllSpecies(train=train, final_validation=True))
}
fit(model,
train=train,
val=val,
test=test,
training_params=training_params,
from datascience.ml.metrics import ValidationAccuracyMultipleBySpecies, ValidationMRRBySpecies
from datascience.ml.metrics import ValidationAccuracyRangeBySpecies, ValidationAccuracyForAllSpecies
from datascience.ml.neural.models import load_create_nn, InceptionEnv
from datascience.data.loader import occurrence_loader
from datascience.data.datasets import EnvironmentalDataset
from datascience.ml.neural.supervised import fit
from datascience.model_selection import train_test_split_stratified
from datascience.tools.activations_map.get_activations import get_species_neurons_activations
from projects.ecography.configs.inception import model_params
# loading/creating model
model = load_create_nn(model_class=InceptionEnv,
model_params=model_params,
from_scratch=False)
# loading dataset
_, _, grid_points = occurrence_loader(EnvironmentalDataset,
source='grid_occs_1km',
id_name='id',
test_size=1,
label_name=None)
# get activations
get_species_neurons_activations(model, grid_points)