Mitugaurav15's workspace
Runs
17
Name
17 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
attention_head_size
causal_attention
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.days_to_christmas
dataset_parameters.scalers.encoder_length
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
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_continuous_size
hidden_size
learning_rate
log_gradient_flow
log_interval
lstm_layers
max_encoder_length
optimizer
output_size
reduce_on_plateau_min_lr
reduce_on_plateau_patience
reduce_on_plateau_reduction
Finished
-
mitugaurav15
6m 48s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
3m 27s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
8m 39s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
8m 35s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
8m 34s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
4m 30s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
7m 11s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
4m 54s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
3m 17s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
3m 2s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
3m 16s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
4m 7s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
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mitugaurav15
4m 36s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
-
mitugaurav15
4m 14s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
-
mitugaurav15
3m 25s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
-
mitugaurav15
3m 12s
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
Finished
-
mitugaurav15
5m
-
2
true
true
false
false
true
NaNLabelEncoder(add_nan=False, warn=True)
NaNLabelEncoder(add_nan=False, warn=True)
["cluster_id"]
24
5
12
0
1
false
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"]
0.2
0
1
2
3
4
[]
[5,4]
16
32
0.001
false
10
1
24
Ranger
1
0.00001
4
2
1-17
of 17