Mitugaurav15's workspace
Runs
17
Name
17 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
activation
backcast_loss_ratio
batch_normalization
context_length
dataset_parameters.add_encoder_length
dataset_parameters.add_relative_time_idx
dataset_parameters.add_target_scales
dataset_parameters.allow_missing_timesteps
dataset_parameters.categorical_encoders.__group_id__cluster_id
dataset_parameters.categorical_encoders.cluster_id
dataset_parameters.group_ids
dataset_parameters.max_encoder_length
dataset_parameters.max_prediction_length
dataset_parameters.min_encoder_length
dataset_parameters.min_prediction_idx
dataset_parameters.min_prediction_length
dataset_parameters.predict_mode
dataset_parameters.scalers.TotalSales_center
dataset_parameters.scalers.TotalSales_scale
dataset_parameters.scalers.days_to_christmas
dataset_parameters.scalers.time_idx
dataset_parameters.static_categoricals
dataset_parameters.target
dataset_parameters.target_normalizer
dataset_parameters.time_idx
dataset_parameters.time_varying_known_reals
dataset_parameters.time_varying_unknown_reals
downsample_frequencies
dropout
embedding_labels.cluster_id.cluster_1
embedding_labels.cluster_id.cluster_3
embedding_labels.cluster_id.cluster_5
embedding_labels.cluster_id.cluster_7
embedding_labels.cluster_id.cluster_8
embedding_paddings
embedding_sizes.cluster_id
hidden_size
initialization
interpolation_mode
learning_rate
log_gradient_flow
log_interval
n_blocks
n_layers
Finished
-
mitugaurav15
47s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 23s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 43s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
50s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 12s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
30s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 10s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 49s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 3s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 46s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
33s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 9s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
1m 13s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
30s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
41s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
56s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
Finished
-
mitugaurav15
29s
-
ReLU
0
false
12
false
false
true
false
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
12
5
12
0
5
false
StandardScaler()
StandardScaler()
StandardScaler()
StandardScaler()
["cluster_id"]
TotalSales
GroupNormalizer(
method='robust',
groups=['cluster_id'],
center=True,
scale_by_group=False,
transformation=None,
method_kwargs={}
)
time_idx
["time_idx","days_to_christmas"]
["TotalSales"]
[2,2,1]
0.2
0
1
2
3
4
[]
[5,4]
256
lecun_normal
linear
0.001
false
10
[2,2,2]
[2,2,2]
1-17
of 17