hi all, I Cant see cards in Metaflow UI I want to be able to see all artifacts stores in

self

in the Metaflow UI Card visualization. Right now i’m using the sandbox:

ob-metaflow               2.11.15.3

Some artifacts I’d want are related to model registry, model performance, metrics and data. Same thing happen with this example: https://docs.metaflow.org/metaflow/visualizing-results/easy-custom-reports-with-card-components#comparing-data-across-runs

class OptunaDemo(FlowSpec):

n_trials = Parameter('n_trials', default=25, help='Number of trials for HPO')

@step

def start(self):

self.next(self.train)

@card(id='best_model')

@card(id='hpo')

@conda(

python='3.12',

packages={'numpy': '1.26.4', 'optuna': '3.6.0', 'scikit-learn': '1.4.2', 'pandas': '2.2.2'}

)

@step

def train(self):

import optuna

study = optuna.create_study(direction='maximize')

study.optimize(self.objective, n_trials=self.n_trials)

self.results = study.trials_dataframe()

self.best_params = study.best_params

current.card['best_model'].append(Markdown(f"### Best model parameters: {self.best_params}"))

current.card['hpo'].append(Table.from_dataframe(self.results.sort_values('value', ascending=False)))

self.next(self.evaluate)

@conda(

python='3.12',

packages={'numpy': '1.26.4', 'scikit-learn': '1.4.2'}

)

@step

def evaluate(self):

from sklearn.datasets import load_iris

from sklearn.tree import ExtraTreeClassifier

# fit on same data.

data = load_iris()

X, y = data['data'], data['target']

model = ExtraTreeClassifier(**self.best_params)

model.fit(X, y)

# this is just a demo

# in real life, evaluate on a test set.

y_hat = model.predict(X)

self.accuracy = (y_hat == y).mean()

print(f"Accuracy: {self.accuracy}")

self.next(self.end)

@step

def end(self):

print("Flow completed")

def objective(self, trial):

from sklearn.datasets import load_iris

from sklearn.tree import ExtraTreeClassifier

from sklearn.model_selection import cross_val_score

import numpy as np

data = load_iris()

X, y = data['data'], data['target']

max_depth = trial.suggest_int('max_depth', 2, 16)

criterion = trial.suggest_categorical(

'criterion',

["gini", "entropy"]

)

model = ExtraTreeClassifier(max_depth=max_depth,

criterion=criterion)

return np.mean(cross_val_score(model, X, y, cv=5))

if __name__ == '__main__':

OptunaDemo()

I cannot download the html as well:

(ob-full-stack-ml) metaflow-sandbox$ python optuna_demo.py --environment=conda card get start demo.html
Metaflow 2.11.15.3+ob(v1) executing OptunaDemo for user:sandbox
Resolving card: OptunaDemo/19/start/81
    Card not found in datastore:
    Card not found for pathspec OptunaDemo/19/start/81