type_='table',
description='number of NG output')
manifest_genenerator.add_ait_downloads(name='Log', description='AIT_log')
manifest_genenerator.add_ait_downloads(name='DeepLog',
description='deep_saucer_log')
manifest_path = manifest_genenerator.write()
# In[9]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(
name='mnist_dataset', value='mnist_dataset/mnist_dataset.zip')
input_generator.add_ait_inventories(name='mnist_model',
value='mnist_model/model_mnist.zip')
input_generator.set_ait_params(name='Lap', value='10')
input_generator.set_ait_params(name='NumTest', value='500')
input_generator.set_ait_params(name='mnist_type', value='train')
input_generator.write()
# In[10]:
#########################################
# area:initialize
# do not edit
#########################################
name='metric_fairness_plot',
type_='picture',
description=
'base rates polt of privileged_groups and unprivileged_groups')
manifest_genenerator.add_ait_downloads(name='Log', description='AITLog')
manifest_path = manifest_genenerator.write()
# In[9]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(name='Data',
value='german_credit/german.csv')
input_generator.set_ait_params(name='protected_attribute', value='age')
input_generator.set_ait_params(name='privileged_classes', value='25.0')
input_generator.write()
# In[10]:
#########################################
# area:initialize
# do not edit
#########################################
logger = get_logger()
description='Plot of actual values on the horizontal axis and predictions on the vertical axis. The more plots exist near the diagonal line, the better the prediction.')
manifest_genenerator.add_ait_downloads(name='Log',
description='AIT_log')
manifest_path = manifest_genenerator.write()
# In[9]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(name='trained_model',
value='trained_model/model_2.h5')
input_generator.add_ait_inventories(name='dataset_for_verification',
value='dataset_for_verification/test_dataset.csv')
input_generator.set_ait_params(name='target_variable',
value='Happiness Score')
input_generator.write()
# In[10]:
#########################################
# area:initialize
# do not edit
min='0')
manifest_genenerator.add_ait_resources(name='pairplot',
type_='picture',
description='pairplot')
manifest_genenerator.add_ait_downloads(name='Log', description='AIT実行ログ')
manifest_path = manifest_genenerator.write()
# In[9]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(
name='iris_data', value='iris_data/tableconvert_csv_4nryby.csv')
input_generator.set_ait_params(name='mean_column_name',
value='petal.width')
input_generator.write()
# In[10]:
#########################################
# area:initialize
# do not edit
#########################################
logger = get_logger()
manifest_genenerator.add_ait_downloads(name='Log', description='AIT_log')
manifest_genenerator.add_ait_downloads(
name='each_label_accuracy', description='accuracy of each label')
manifest_genenerator.add_ait_downloads(
name='each_picture', description='predict of each picture')
manifest_path = manifest_genenerator.write()
# In[9]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(
name='trained_model_checkpoint',
value='trained_model_checkpoint/trained_model_checkpoint.zip')
input_generator.add_ait_inventories(
name='trained_model_graph',
value='trained_model_graph/trained_model_graph.zip')
input_generator.add_ait_inventories(
name='trained_model_protobuf',
value='trained_model_protobuf/trained_model_protobuf.zip')
input_generator.add_ait_inventories(
name='test_set_images', value='test_set_images/test_set_images.zip')
input_generator.add_ait_inventories(
name='test_set_labels',
value='test_set_labels/bdd100k_labels_images_val.json')
input_generator.add_ait_inventories(
name='generated_paie_wise',
type_='table',
description='PICT generate pair-wise.')
manifest_genenerator.add_ait_downloads(name='Log',
description='AIT execute log')
manifest_path = manifest_genenerator.write()
# In[6]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories('pair_wise_model',
'pair_wise_model/model.txt')
input_generator.set_ait_params('order_combination', '3')
input_generator.set_ait_params('seed', '25')
input_generator.write()
# In[7]:
#########################################
# area:initialize
# do not edit
#########################################
logger = get_logger()
manifest_genenerator.add_ait_resources(
name='DistributionPlot',
type_='picture',
description='Plot of percentage of various high risk cases in data')
manifest_genenerator.add_ait_downloads(name='Log', description='AITLog')
manifest_path = manifest_genenerator.write()
# In[6]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(name='Data',
value='data/BDD_labels_2036.csv')
input_generator.add_ait_inventories(
name='High_risk_CA_combinations',
value='HighRisk_CA_combinations/HighRisk_CA_combination_cases.csv')
input_generator.write()
# In[7]:
#########################################
# area:initialize
# do not edit
#########################################
logger = get_logger()
description='the heat map of the coverage as an HTML file.')
manifest_genenerator.add_ait_downloads(
name='abs_dataset',
description='the created input data by the manipulation as h5 file.')
manifest_genenerator.add_ait_downloads(name='Log', description='AITLog')
manifest_path = manifest_genenerator.write()
# In[9]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(
name='image_data', value='MNIST_data/image/train-images-idx3-ubyte.gz')
input_generator.add_ait_inventories(
name='label', value='MNIST_data/label/train-labels-idx1-ubyte.gz')
input_generator.add_ait_inventories(name='tf_ckpt', value='tf_ckpt')
input_generator.set_ait_params(name='mnist_image_px_size', value='28')
input_generator.set_ait_params(name='determination_on_activation',
value='0')
input_generator.set_ait_params(name='threshold', value='0.5')
input_generator.set_ait_params(name='lower_bound', value='0.5')
input_generator.set_ait_params(name='upper_bound', value='1')
input_generator.set_ait_params(name='activation_filter_no', value='10')
input_generator.set_ait_params(name='heat_map_type', value='1')
input_generator.set_ait_params(name='combination_type', value='1')
input_generator.set_ait_params(name='combination_first', value='4')
manifest_genenerator.add_ait_downloads(name='PredictionResult',
description='ID,正解ラベル,推論結果確率(ラベル毎)')
manifest_path = manifest_genenerator.write()
# In[9]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(name='trained_model',
value='trained_model/model_1.h5')
input_generator.add_ait_inventories(name='test_set_images',
value='test_set_images/t10k-images-idx3-ubyte.gz')
input_generator.add_ait_inventories(name='test_set_labels',
value='test_set_labels/t10k-labels-idx1-ubyte.gz')
input_generator.set_ait_params(name='class_count',
value='10')
input_generator.set_ait_params(name='image_px_size',
value='28')
input_generator.set_ait_params(name='auc_average',
value='macro')
input_generator.set_ait_params(name='auc_multi_class',
value='raise')
'Table of distribution for each combination')
manifest_genenerator.add_ait_resources(
'distibution_plot', 'picture',
'Plot of distribution for each combination')
manifest_genenerator.add_ait_downloads('Log', 'AITLog')
manifest_path = manifest_genenerator.write()
# In[6]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories('Data', 'BDD_data/BDD_labels_2036.csv')
input_generator.set_ait_params('attribute_no', '7')
input_generator.set_ait_params('dimension', '2')
input_generator.write()
# In[7]:
#########################################
# area:initialize
# do not edit
#########################################
logger = get_logger()
ait_manifest = AITManifest()
manifest_genenerator.add_ait_resources(
name='count_each_class',
type_='picture',
description='Total coverage for each classes.')
manifest_genenerator.add_ait_downloads(name='Log', description='AITLog')
manifest_path = manifest_genenerator.write()
# In[ ]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(
name='images', value='train_images/train-images-idx3-ubyte.gz')
input_generator.add_ait_inventories(
name='labels', value='train_labels/train-labels-idx1-ubyte.gz')
input_generator.set_ait_params(name='coverage_category', value='Area')
input_generator.set_ait_params(name='interval', value='100')
input_generator.set_ait_params(name='max_range', value='800')
input_generator.write()
# In[ ]:
#########################################
# area:initialize
# do not edit
#########################################
manifest_genenerator.add_ait_resources(
name='PercentagePlot',
type_='picture',
description='Plot of percentage of unsound cases in data')
manifest_genenerator.add_ait_downloads(name='Log', description='AITLog')
manifest_path = manifest_genenerator.write()
# In[6]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories(name='ca_data',
value='ca_data/ca_labels_2036.csv')
input_generator.add_ait_inventories(
name='Unsound_CA_combinations',
value='Unsound_CA_combinations/unsound_CA_combination_cases.csv')
input_generator.set_ait_params(name='PCA', value='Road type')
input_generator.set_ait_params(name='PCV', value='Highway')
input_generator.set_ait_params(name='SCA', value='Signal')
input_generator.set_ait_params(name='SCV', value='Green')
input_generator.set_ait_params(name='Combination_index', value='5')
input_generator.write()
# In[7]:
#########################################
description='pairwise_matching_result')
manifest_genenerator.add_ait_downloads(name='Log',
description='AIT_run_log')
manifest_path = manifest_genenerator.write()
# In[6]:
#########################################
# area:create input
# should edit
#########################################
if not is_ait_launch:
from ait_sdk.common.files.ait_input_generator import AITInputGenerator
input_generator = AITInputGenerator(manifest_path)
input_generator.add_ait_inventories('pairwise_list','pairwise_list/Pairwise_list.csv')
input_generator.add_ait_inventories('target','target/target.csv')
input_generator.write()
# In[7]:
#########################################
# area:initialize
# do not edit
#########################################
logger = get_logger()