Beispiel #1
0
def evaluate(dataset_id):
    ds = get_dataset(dataset_id)
    if not ds["public"]:
        flash.warn("Can't add private datasets into evaluation queue.")
    else:
        try:
            db.dataset_eval.evaluate_dataset(ds["id"])
            flash.info("Dataset %s has been added into evaluation queue." % ds["id"])
        except db.dataset_eval.IncompleteDatasetException:
            # TODO(roman): Show more informative error message.
            flash.error("Can't add dataset into evaluation queue because it's incomplete.")
        except db.dataset_eval.JobExistsException:
            flash.warn("Evaluation job for this dataset has been already created.")
    return redirect(url_for(".eval_info", dataset_id=dataset_id))
Beispiel #2
0
def evaluate(dataset_id):
    ds = get_dataset(dataset_id)
    if not ds["public"]:
        flash.warn("Can't add private datasets into evaluation queue.")
    else:
        try:
            db.dataset_eval.evaluate_dataset(ds["id"])
            flash.info("Dataset %s has been added into evaluation queue." %
                       ds["id"])
        except db.dataset_eval.IncompleteDatasetException:
            # TODO(roman): Show more informative error message.
            flash.error(
                "Can't add dataset into evaluation queue because it's incomplete."
            )
        except db.dataset_eval.JobExistsException:
            flash.warn(
                "Evaluation job for this dataset has been already created.")
    return redirect(url_for(".eval_info", dataset_id=dataset_id))
def evaluate(dataset_id):
    """Endpoint for submitting dataset for evaluation."""
    ds = get_dataset(dataset_id)
    if not ds["public"]:
        flash.warn("Can't add private datasets into evaluation queue.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))
    if db.dataset_eval.job_exists(dataset_id):
        flash.warn("Evaluation job for this dataset has been already created.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))

    form = forms.DatasetEvaluationForm()

    if form.validate_on_submit():
        try:
            if form.filter_type.data == forms.DATASET_EVAL_NO_FILTER:
                form.filter_type.data = None
            db.dataset_eval.evaluate_dataset(
                dataset_id=ds["id"],
                normalize=form.normalize.data,
                filter_type=form.filter_type.data,
            )
            flash.info("Dataset %s has been added into evaluation queue." % ds["id"])
        except db.dataset_eval.IncompleteDatasetException:
            # TODO(roman): Show more informative error message.
            flash.error("Can't add this dataset into evaluation queue because it's incomplete.")
        except db.dataset_eval.JobExistsException:
            flash.warn("Evaluation job for this dataset has been already created.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))

    return render_template("datasets/evaluate.html", dataset=ds, form=form)
def evaluate(dataset_id):
    """Endpoint for submitting dataset for evaluation."""
    ds = get_dataset(dataset_id)
    if not ds["public"]:
        flash.warn("Can't add private datasets into evaluation queue.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))
    if db.dataset_eval.job_exists(dataset_id):
        flash.warn("Evaluation job for this dataset has been already created.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))

    form = forms.DatasetEvaluationForm()

    if form.validate_on_submit():
        try:
            if form.filter_type.data == forms.DATASET_EVAL_NO_FILTER:
                form.filter_type.data = None
            db.dataset_eval.evaluate_dataset(
                dataset_id=ds["id"],
                normalize=form.normalize.data,
                eval_location=form.evaluation_location.data,
                filter_type=form.filter_type.data,
            )
            flash.info("Dataset %s has been added into evaluation queue." %
                       ds["id"])
        except db.dataset_eval.IncompleteDatasetException as e:
            flash.error(
                "Cannot add this dataset because of a validation error: %s" %
                e)
        except db.dataset_eval.JobExistsException:
            flash.warn(
                "An evaluation job for this dataset has been already created.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))

    return render_template("datasets/evaluate.html", dataset=ds, form=form)
def evaluate(dataset_id):
    """Endpoint for submitting dataset for evaluation."""
    ds = get_dataset(dataset_id)
    if not ds["public"]:
        flash.warn("Can't add private datasets into evaluation queue.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))
    if db.dataset_eval.job_exists(dataset_id):
        flash.warn(
            "An evaluation job for this dataset has been already created.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))

    # Validate dataset structure before choosing evaluation preferences
    try:
        db.dataset_eval.validate_dataset_structure(ds)
    except db.dataset_eval.IncompleteDatasetException as e:
        flash.error(
            "Cannot add this dataset because of a validation error: %s" % e)
        return redirect(url_for("datasets.view", dataset_id=dataset_id))

    form = forms.DatasetEvaluationForm()

    if form.validate_on_submit():
        try:
            if form.filter_type.data == forms.DATASET_EVAL_NO_FILTER:
                form.filter_type.data = None

            c_values = None
            gamma_values = None
            preprocessing_values = None
            if form.svm_filtering.data:
                c_values = [int(i) for i in form.c_value.data.split(",")]
                gamma_values = [
                    int(i) for i in form.gamma_value.data.split(",")
                ]
                preprocessing_values = form.preprocessing_values.data

            db.dataset_eval.evaluate_dataset(
                dataset_id=ds["id"],
                normalize=form.normalize.data,
                eval_location=form.evaluation_location.data,
                c_values=c_values,
                gamma_values=gamma_values,
                preprocessing_values=preprocessing_values,
                filter_type=form.filter_type.data,
            )
            flash.info("Dataset %s has been added into evaluation queue." %
                       ds["id"])
        except db.dataset_eval.IncompleteDatasetException as e:
            flash.error(
                "Cannot add this dataset because of a validation error: %s" %
                e)
        except db.dataset_eval.JobExistsException:
            flash.warn(
                "An evaluation job for this dataset has been already created.")
        return redirect(url_for(".eval_info", dataset_id=dataset_id))

    return render_template("datasets/evaluate.html", dataset=ds, form=form)