def index(request):
"""
Landing page for the Mantra UI
"""
config = Mantra.get_config()
context = {
"project_name": config["project_name"],
"results": Mantra.get_results(),
"trials": Mantra.get_trials(),
}
return render(request, "index.html", context)
def results(request):
"""
Lists the trials that the user has run in their project
"""
config = Mantra.get_config()
context = {"project_name": config["project_name"]}
context["results"] = Mantra.get_results(limit=False)
sys.path.append(settings.MANTRA_PROJECT_ROOT)
return render(request, "results.html", context)
def view_dataset(request, dataset_name):
"""
This view displays a dataset and its various dependencies and metadatas
"""
config = Mantra.get_config()
data_list = Artefact.all(settings=settings,
artefacts_folder=config['data_folder'])
if dataset_name not in data_list:
raise Http404("Dataset does not exist")
# delete trial option - catch and process
if request.method == 'POST':
form = DeleteTrialGroupForm(request.POST)
if form.is_valid():
Trial.remove_group_hash_from_contents(
settings=settings,
trial_group_hash=form.cleaned_data['trial_group_hash'])
form = DeleteTrialGroupForm()
sys.path.append(settings.MANTRA_PROJECT_ROOT)
readme_content, readme_exists = CodeBase.get_readme(
'%s/data/%s' % (settings.MANTRA_PROJECT_ROOT, dataset_name))
context = {
**Mantra.find_dataset_metadata(dataset_name), 'readme_exists':
readme_exists,
'readme_content': readme_content
}
context['files'] = CodeBase.get_files(
'%s/data/%s' % (settings.MANTRA_PROJECT_ROOT, dataset_name))
context['directories'] = CodeBase.get_directories(
'%s/data/%s' % (settings.MANTRA_PROJECT_ROOT, dataset_name))
trial_group_members, model_trials = Trial.get_trial_group_members(
settings=settings, data_filter=dataset_name)
context['task_list'] = Task.calculate_task_metadata(settings=settings,
trials=model_trials)
context['trial_groups'] = Trial.get_all_trial_group_metadata(
settings=settings, trial_group_members=trial_group_members)
context['trial_groups'].sort(key=lambda item: item['time'], reverse=True)
context['form'] = form
return render(request, 'view_data.html', context)
def view_model_codebase(request, model_name, path):
"""
This view shows the codebase for a model
"""
# delete trial option - catch and process
if request.method == 'POST':
form = DeleteTrialGroupForm(request.POST)
if form.is_valid():
Trial.remove_group_hash_from_contents(settings=settings, trial_group_hash=form.cleaned_data['trial_group_hash'])
form = DeleteTrialGroupForm()
config = Mantra.get_config()
models_dir = os.path.join(settings.MANTRA_PROJECT_ROOT, config["models_folder"])
if os.path.isdir(models_dir):
models_list = [o for o in os.listdir(models_dir) if os.path.isdir(os.path.join(models_dir, o))]
else:
models_list = []
if model_name not in models_list:
raise Http404("Model does not exist")
# Project readme
readme_content, readme_exists = CodeBase.get_readme('%s/models/%s' % (settings.MANTRA_PROJECT_ROOT, model_name))
sys.path.append(settings.MANTRA_PROJECT_ROOT)
context = {**Mantra.find_model_metadata(model_name), 'readme_exists': readme_exists, 'readme_content': readme_content}
context['files'] = CodeBase.get_files('%s/models/%s'% (settings.MANTRA_PROJECT_ROOT, model_name))
context['directories'] = CodeBase.get_directories('%s/models/%s'% (settings.MANTRA_PROJECT_ROOT, model_name))
trial_group_members, model_trials = Trial.get_trial_group_members(settings=settings, model_filter=model_name)
context['trial_groups'] = Trial.get_all_trial_group_metadata(settings=settings, trial_group_members=trial_group_members)
context['trial_groups'].sort(key=lambda item: item['time'], reverse=True)
context['form'] = form
path = path.rstrip('/')
codebase_data = CodeBase.get_code_data(
blob_path='%s/models/%s/%s' % (settings.MANTRA_PROJECT_ROOT, model_name, path),
path=path)
context.update(codebase_data)
return render(request, 'view_codebase.html', context)
def trials(request):
"""
Lists the trials that the user has run in their project
"""
config = Mantra.get_config()
context = {"project_name": config["project_name"]}
# delete trial option - catch and process
if request.method == 'POST':
form = DeleteTrialGroupForm(request.POST)
if form.is_valid():
Trial.remove_group_hash_from_contents(
settings=settings,
trial_group_hash=form.cleaned_data['trial_group_hash'])
form = DeleteTrialGroupForm()
sys.path.append(settings.MANTRA_PROJECT_ROOT)
trial_group_members, _ = Trial.get_trial_group_members(settings=settings)
context['trial_groups'] = Trial.get_all_trial_group_metadata(
settings=settings, trial_group_members=trial_group_members)
context['trial_groups'].sort(key=lambda item: item['time'], reverse=True)
context['form'] = form
return render(request, "trials.html", context)
def view_trial(request, trial_folder):
"""
This view shows an individual trial
"""
trials = Trial.get_trial_contents_as_dicts(settings=settings)
model_trials = [trial for trial in trials if trial_folder in trial['folder_name']]
if not model_trials:
raise Http404("Poll does not exist")
else:
model_trial = model_trials[0]
trial_folder_name = model_trials[0]['folder_name']
event_acc = EventAccumulator('%s/trials/%s/logs' % (settings.MANTRA_PROJECT_ROOT, trial_folder_name))
event_acc.Reload()
scalars = list(event_acc.scalars._buckets.keys())
scalar_values = {}
for scalar in scalars:
scalar_values[scalar] = {}
scalar_values[scalar]['time'] = [item[0] for item in event_acc.Scalars(scalar)]
scalar_values[scalar]['steps'] = [str(i) for i in range(len(scalar_values[scalar]['time']))]
scalar_values[scalar]['values'] = [item[2] for item in event_acc.Scalars(scalar)]
context = {}
context['scalars'] = scalar_values
context['latest_media'] = Mantra.find_latest_trial_media(trial_folder_name)
sys.path.append(settings.MANTRA_PROJECT_ROOT)
context['model'] = {}
context['data'] = {}
context['model'].update(Mantra.find_model_metadata(model_trial['model_name']))
context['data'].update(Mantra.find_dataset_metadata(model_trial['data_name']))
return render(request, 'view_trial.html', context)
def view_trial(request, trial_folder):
"""
This view shows an individual trial
"""
trials = Trial.get_trial_contents_as_dicts(settings=settings)
model_trials = [
trial for trial in trials if trial_folder in trial['folder_name']
]
if not model_trials:
raise Http404("Trial does not exist")
else:
model_trial = model_trials[0]
trial_folder_name = model_trials[0]['folder_name']
context = {}
context['latest_media'] = Mantra.find_latest_trial_media(trial_folder_name)
sys.path.append(settings.MANTRA_PROJECT_ROOT)
context['model'] = {}
context['data'] = {}
context['model'].update(
Mantra.find_model_metadata(model_trial['model_name']))
context['data'].update(
Mantra.find_dataset_metadata(model_trial['data_name']))
context['task'] = Mantra.find_task_metadata(model_trial['task_name'])
# Get model trial metadata
model_trial.update({
'start_time':
datetime.datetime.utcfromtimestamp(
int(str(model_trial['start_timestamp'])))
})
try:
model_trial['metadata'] = yaml.load(
open(
'%s/trials/%s/trial_metadata.yml' %
(settings.MANTRA_PROJECT_ROOT, model_trial['folder_name']),
'r').read())
if 'validation_loss_history' in model_trial['metadata']:
model_trial['metadata']['validation_loss_history_steps'] = list(
range(
1,
len(model_trial['metadata']['validation_loss_history']) +
1))
if 'end_timestamp' in model_trial['metadata']:
model_trial.update({
'end_time':
datetime.datetime.utcfromtimestamp(
int(str(model_trial['metadata']['end_timestamp'])))
})
except: # can't load yaml
model_trial['metadata'] = {}
hyperparameter_list = []
if 'hyperparameters' in model_trial['metadata']:
hyperparameter_list = hyperparameter_list + list(
model_trial['metadata']['hyperparameters'].keys())
occur = Counter([hyperparm for hyperparm in hyperparameter_list])
context['hyperparms'] = [i[0] for i in occur.most_common(5)]
if 'hyperparameters' in model_trial['metadata']:
hyperparm_list = []
for hyperparm_no, hyperparm in enumerate(context['hyperparms']):
if hyperparm in model_trial['metadata']['hyperparameters']:
hyperparameter_value = model_trial['metadata'][
'hyperparameters'][hyperparm]
if context['hyperparms'][hyperparm_no] == 'image_dim':
hyperparameter_value = '%s x %s' % (
hyperparameter_value[0], hyperparameter_value[1])
if isinstance(hyperparameter_value, list):
hyperparameter_value_type = 'list'
elif isinstance(hyperparameter_value, float):
hyperparameter_value_type = 'float'
else:
hyperparameter_value_type = 'str'
hyperparm_list.append({
'value': hyperparameter_value,
'type': hyperparameter_value_type
})
else:
hyperparm_list.append({})
model_trial.update({'hyperparm_values': hyperparm_list})
else:
model_trial.update(
{'hyperparm_values': [None] * len(context['hyperparms'])})
context['hyperparms'] = [
hp.replace("_", " ").title() for hp in context['hyperparms']
]
context['model_trial'] = model_trial
context['hyperparameter_dict'] = sorted(
dict(
zip(context['hyperparms'],
context['model_trial']['hyperparm_values'])).items())
return render(request, 'view_trial.html', context)
def view_trial_group(request, trial_group_folder):
"""
This view shows a group of trials for a given trial id
"""
# delete trial option - catch and process
if request.method == 'POST':
form = DeleteTrialForm(request.POST)
if form.is_valid():
trials = Trial.get_trial_contents_as_dicts(settings=settings)
trial_contents = Trial.get_trial_contents(settings=settings)
group_trials = [
group_trial for group_trial in trials if
group_trial['trial_group_hash'].startswith(trial_group_folder)
]
trial_hash = form.cleaned_data['trial_hash']
new_contents = [
trial for trial in trial_contents if not trial[2] == trial_hash
]
try:
trial_folder_name = [
trial for trial in trial_contents if trial[2] == trial_hash
][0][1]
trial_exists = True
except IndexError:
trial_exists = False
if trial_exists:
new_information = '\n'.join(
[" ".join(content) for content in new_contents]) + '\n'
if os.path.exists('%s/%s/%s' % (settings.MANTRA_PROJECT_ROOT,
'trials', trial_folder_name)):
shutil.rmtree(
'%s/%s/%s' %
(settings.MANTRA_PROJECT_ROOT, 'trials',
trial_folder_name)) # delete the trial folder
with open("%s/.mantra/TRIALS" % settings.MANTRA_PROJECT_ROOT,
"w") as trial_file:
trial_file.write(new_information)
trials = Trial.get_trial_contents_as_dicts(settings=settings)
group_trials = [
group_trial for group_trial in trials
if group_trial['trial_group_hash'].startswith(trial_group_folder)
]
form = DeleteTrialForm()
if not group_trials:
raise Http404("Trial Group does not exist")
else:
sys.path.append(settings.MANTRA_PROJECT_ROOT)
model_trials = [
trial for trial in trials
if trial['trial_group_hash'] == group_trials[0]['trial_group_hash']
]
task_name = model_trials[0]['task_name']
task_full_name = Mantra.find_task_metadata(task_name)['name']
evaluation_name = Mantra.find_task_metadata(
task_name)['evaluation_name']
context = {}
yaml_content = Trial.get_trial_group_name_dict(settings=settings)
try:
context['trial_group_name'] = yaml_content[model_trials[0]
['trial_group_hash']]
except:
context['trial_group_name'] = 'Trial Group ' + model_trials[0][
'trial_group_hash'][:6]
context['task_name'] = task_name
context['task_full_name'] = task_full_name
context['evaluation_name'] = evaluation_name
context['trial_group_hash'] = model_trials[0]['trial_group_hash']
context['trials'] = model_trials
context['latest_trial'] = datetime.datetime.utcfromtimestamp(
int(str(max([trial['start_timestamp'] for trial in model_trials]))))
hyperparameter_list = []
metric_name_list = []
for trial in context['trials']:
trial.update({
'time':
datetime.datetime.utcfromtimestamp(
int(str(trial['start_timestamp'])))
})
try:
trial['metadata'] = yaml.load(
open(
'%s/trials/%s/trial_metadata.yml' %
(settings.MANTRA_PROJECT_ROOT, trial['folder_name']),
'r').read())
except: # can't load yaml
trial['metadata'] = {}
if 'hyperparameters' in trial['metadata']:
hyperparameter_list = hyperparameter_list + list(
trial['metadata']['hyperparameters'].keys())
if 'secondary_metrics' in trial['metadata']:
metric_name_list = metric_name_list + list(
trial['metadata']['secondary_metrics'].keys())
occur = Counter([
hyperparm for hyperparm in hyperparameter_list
if hyperparm not in ['epochs', 'image_dim']
])
context['hyperparms'] = [i[0] for i in occur.most_common(5)]
context['metric_names'] = list(set(metric_name_list))
for trial in context['trials']:
if 'hyperparameters' in trial['metadata']:
hyperparm_list = []
for hyperparm_no, hyperparm in enumerate(context['hyperparms']):
if hyperparm in trial['metadata']['hyperparameters']:
hyperparameter_value = trial['metadata'][
'hyperparameters'][hyperparm]
if isinstance(hyperparameter_value, list):
hyperparameter_value_type = 'list'
elif isinstance(hyperparameter_value, float):
hyperparameter_value_type = 'float'
else:
hyperparameter_value_type = 'str'
hyperparm_list.append({
'value': hyperparameter_value,
'type': hyperparameter_value_type
})
else:
hyperparm_list.append({})
trial.update({'hyperparm_values': hyperparm_list})
else:
trial.update(
{'hyperparm_values': [None] * len(context['hyperparms'])})
if 'secondary_metrics' in trial['metadata']:
metric_list = []
for metric_no, metric in enumerate(context['metric_names']):
if metric in trial['metadata']['secondary_metrics']:
metric_list.append(
trial['metadata']['secondary_metrics'][metric])
else:
metric_list.append(None)
trial.update({'metric_values': metric_list})
else:
trial.update(
{'metric_values': [None] * len(context['metric_names'])})
context['hyperparms'] = [
hyperparm.replace('_', ' ').title()
for hyperparm in context['hyperparms']
]
context['trials'].sort(key=lambda item: item['time'], reverse=True)
context['model'] = {}
context['data'] = {}
context['model'].update(
Mantra.find_model_metadata(model_trials[0]['model_name']))
context['data'].update(
Mantra.find_dataset_metadata(model_trials[0]['data_name']))
context['form'] = form
return render(request, 'view_trial_group.html', context)
def view_dataset_task(request, dataset_name, task_name):
"""
This view shows the dataset module page
"""
config = Mantra.get_config()
data_list = Artefact.all(settings=settings,
artefacts_folder=config['data_folder'])
if dataset_name not in data_list:
raise Http404("Dataset does not exist")
# delete trial option - catch and process
if request.method == 'POST':
form = DeleteTrialGroupForm(request.POST)
if form.is_valid():
Trial.remove_group_hash_from_contents(
settings=settings,
trial_group_hash=form.cleaned_data['trial_group_hash'])
form = DeleteTrialGroupForm()
# Project readme
readme_content, readme_exists = CodeBase.get_readme(
'%s/data/%s' % (settings.MANTRA_PROJECT_ROOT, dataset_name))
sys.path.append(settings.MANTRA_PROJECT_ROOT)
context = {
**Mantra.find_dataset_metadata(dataset_name), 'readme_exists':
readme_exists,
'readme_content': readme_content
}
context['files'] = CodeBase.get_files(
'%s/data/%s' % (settings.MANTRA_PROJECT_ROOT, dataset_name))
context['directories'] = CodeBase.get_directories(
'%s/data/%s' % (settings.MANTRA_PROJECT_ROOT, dataset_name))
trial_group_members, model_trials = Trial.get_trial_group_members(
settings=settings, data_filter=dataset_name)
task_trials = [
trial for trial in model_trials if trial['task_name'] == task_name
]
trials_with_metadata = []
for trial in task_trials:
trial.update({
'time':
datetime.datetime.utcfromtimestamp(
int(str(trial['start_timestamp'])))
})
try:
trial['metadata'] = yaml.load(
open(
'%s/trials/%s/trial_metadata.yml' %
(settings.MANTRA_PROJECT_ROOT, trial['folder_name']),
'r').read())
trial['model_metadata'] = Mantra.find_model_metadata(
trial['model_name'])
if 'validation_loss' in trial['metadata']:
trials_with_metadata.append(trial)
except: # can't load yaml
continue
context['task_trials'] = trials_with_metadata
context['task_trials'].sort(
key=lambda item: item['metadata']['validation_loss'], reverse=False)
context['task_name'] = task_name
context['task_metadata'] = Mantra.find_task_metadata(task_name)
context['trial_groups'] = Trial.get_all_trial_group_metadata(
settings=settings, trial_group_members=trial_group_members)
context['trial_groups'].sort(key=lambda item: item['time'], reverse=True)
context['form'] = form
return render(request, 'view_data_task.html', context)
def view_trial(request, trial_folder):
"""
This view shows an individual trial
"""
trials = Trial.get_trial_contents_as_dicts(settings=settings)
model_trials = [
trial for trial in trials if trial_folder in trial['folder_name']
]
if not model_trials:
raise Http404("Trial does not exist")
else:
model_trial = model_trials[0]
trial_folder_name = model_trials[0]['folder_name']
context = {}
context['latest_media'] = Mantra.find_latest_trial_media(trial_folder_name)
sys.path.append(settings.MANTRA_PROJECT_ROOT)
context['model'] = {}
context['data'] = {}
context['model'].update(
Mantra.find_model_metadata(model_trial['model_name']))
context['data'].update(
Mantra.find_dataset_metadata(model_trial['data_name']))
context['task'] = Mantra.find_task_metadata(model_trial['task_name'])
# Get model trial metadata
model_trial.update({
'start_time':
datetime.datetime.utcfromtimestamp(
int(str(model_trial['start_timestamp'])))
})
try:
model_trial['metadata'] = yaml.load(
open(
'%s/trials/%s/trial_metadata.yml' %
(settings.MANTRA_PROJECT_ROOT, model_trial['folder_name']),
'r').read())
if 'validation_loss_history' in model_trial['metadata']:
model_trial['metadata']['validation_loss_history_steps'] = list(
range(
1,
len(model_trial['metadata']['validation_loss_history']) +
1))
if 'end_timestamp' in model_trial['metadata']:
model_trial.update({
'end_time':
datetime.datetime.utcfromtimestamp(
int(str(model_trial['metadata']['end_timestamp'])))
})
except: # can't load yaml
model_trial['metadata'] = {}
# Process get results form
posted_form = CreateResultsForm(request.POST)
form_error_message = None
if posted_form.is_valid():
if not os.path.exists(
os.path.join(settings.MANTRA_PROJECT_ROOT, "results")):
os.makedirs(os.path.join(settings.MANTRA_PROJECT_ROOT, "results"))
if posted_form.cleaned_data['folder_name'] in os.listdir(
'%s/results' % settings.MANTRA_PROJECT_ROOT):
form_error_message = 'Folder already exists! Choose another folder name'
else:
trial_location = '%s/trials/%s' % (settings.MANTRA_PROJECT_ROOT,
trial_folder_name)
results_location = '%s/results/%s' % (
settings.MANTRA_PROJECT_ROOT,
posted_form.cleaned_data['folder_name'])
shutil.copytree(trial_location,
results_location,
ignore=shutil.ignore_patterns(
'*.pyc', '__pycache__*'))
result_dict = {}
result_dict['name'] = posted_form.cleaned_data['results_name']
result_dict['description'] = posted_form.cleaned_data[
'description']
# write yaml file
yaml_content = yaml.dump(result_dict, default_flow_style=False)
yaml_file = open('%s/result.yml' % results_location, 'w')
yaml_file.write(yaml_content)
yaml_file.close()
# write README file
if not context['latest_media']:
media_content = ''
else:
imgs = ''.join([
'\n' % (media['name'], media['name'])
for media in context['latest_media'][:3]
])
media_content = '## Media\n\n%s' % imgs
readme = DEFAULT_RESULT_README % (
context['model']['name'], context['model']['folder_name'],
context['data']['name'], context['data']['folder_name'],
context['model']['folder_name'],
context['data']['folder_name'],
model_trial['metadata']['argument_cmds'], media_content)
readme_file = open('%s/README.md' % results_location, 'w')
readme_file.write(readme)
readme_file.close()
return redirect(
'view_result',
result_folder=posted_form.cleaned_data['folder_name'])
context['create_results_form'] = CreateResultsForm()
context['form_error_message'] = form_error_message
hyperparameter_list = []
if 'hyperparameters' in model_trial['metadata']:
hyperparameter_list = hyperparameter_list + list(
model_trial['metadata']['hyperparameters'].keys())
occur = Counter([hyperparm for hyperparm in hyperparameter_list])
context['hyperparms'] = [i[0] for i in occur.most_common(5)]
if 'hyperparameters' in model_trial['metadata']:
hyperparm_list = []
for hyperparm_no, hyperparm in enumerate(context['hyperparms']):
if hyperparm in model_trial['metadata']['hyperparameters']:
hyperparameter_value = model_trial['metadata'][
'hyperparameters'][hyperparm]
if context['hyperparms'][hyperparm_no] == 'image_dim':
hyperparameter_value = '%s x %s' % (
hyperparameter_value[0], hyperparameter_value[1])
if isinstance(hyperparameter_value, list):
hyperparameter_value_type = 'list'
elif isinstance(hyperparameter_value, float):
hyperparameter_value_type = 'float'
else:
hyperparameter_value_type = 'str'
hyperparm_list.append({
'value': hyperparameter_value,
'type': hyperparameter_value_type
})
else:
hyperparm_list.append({})
model_trial.update({'hyperparm_values': hyperparm_list})
else:
model_trial.update(
{'hyperparm_values': [None] * len(context['hyperparms'])})
context['hyperparms'] = [
hp.replace("_", " ").title() for hp in context['hyperparms']
]
context['model_trial'] = model_trial
context['hyperparameter_dict'] = sorted(
dict(
zip(context['hyperparms'],
context['model_trial']['hyperparm_values'])).items())
return render(request, 'view_trial.html', context)
def view_result(request, result_folder):
"""
This view shows a result of a trial, the model, the data etc
"""
result_metadata = yaml.load(
open('%s/results/%s/result.yml' %
(settings.MANTRA_PROJECT_ROOT, result_folder)))
readme_content, readme_exists = CodeBase.get_readme(
'%s/results/%s' % (settings.MANTRA_PROJECT_ROOT, result_folder))
context = {
'readme_exists': readme_exists,
'readme_content': readme_content
}
context['latest_media'] = Mantra.find_latest_trial_media(result_folder,
result=True)
context['description'] = result_metadata['description']
if '.' in context['description']:
context['description'] = context['description'].split('.')[0]
context['name'] = result_metadata['name']
trial_metadata = yaml.load(
open('%s/results/%s/trial_metadata.yml' %
(settings.MANTRA_PROJECT_ROOT, result_folder)))
sys.path.append(settings.MANTRA_PROJECT_ROOT)
context['model'] = {}
context['data'] = {}
context['result_folder'] = result_folder
context['model'].update(
Mantra.find_model_metadata(trial_metadata['model_name']))
context['data'].update(
Mantra.find_dataset_metadata(trial_metadata['data_name']))
context['task'] = Mantra.find_task_metadata(trial_metadata['task_name'])
# Obtain the hyperparameters
if 'start_timestamp' in trial_metadata:
trial_metadata.update({
'start_time':
datetime.datetime.utcfromtimestamp(
int(str(trial_metadata['start_timestamp'])))
})
if 'end_timestamp' in trial_metadata:
trial_metadata.update({
'end_time':
datetime.datetime.utcfromtimestamp(
int(str(trial_metadata['end_timestamp'])))
})
hyperparameter_list = []
if 'hyperparameters' in trial_metadata:
hyperparameter_list = hyperparameter_list + list(
trial_metadata['hyperparameters'].keys())
occur = Counter([hyperparm for hyperparm in hyperparameter_list])
context['hyperparms'] = [i[0] for i in occur.most_common(5)]
if 'hyperparameters' in trial_metadata:
hyperparm_list = []
for hyperparm_no, hyperparm in enumerate(context['hyperparms']):
if hyperparm in trial_metadata['hyperparameters']:
hyperparameter_value = trial_metadata['hyperparameters'][
hyperparm]
if context['hyperparms'][hyperparm_no] == 'image_dim':
hyperparameter_value = '%s x %s' % (
hyperparameter_value[0], hyperparameter_value[1])
if isinstance(hyperparameter_value, list):
hyperparameter_value_type = 'list'
elif isinstance(hyperparameter_value, float):
hyperparameter_value_type = 'float'
else:
hyperparameter_value_type = 'str'
hyperparm_list.append({
'value': hyperparameter_value,
'type': hyperparameter_value_type
})
else:
hyperparm_list.append({})
trial_metadata.update({'hyperparm_values': hyperparm_list})
else:
trial_metadata.update(
{'hyperparm_values': [None] * len(context['hyperparms'])})
context['hyperparms'] = [
hp.replace("_", " ").title() for hp in context['hyperparms']
]
context['model_trial'] = trial_metadata
context['hyperparameter_dict'] = sorted(
dict(
zip(context['hyperparms'],
context['model_trial']['hyperparm_values'])).items())
return render(request, 'view_result.html', context)