Moritzm00's group workspace
Group: SwissRoll
State
Notes
User
Tags
Created
Runtime
Sweep
AutoEncoderClass._target_
AutoEncoderClass.intrinsic_dim
_skip_
available_datasets
available_reducers
data_dir
dataset.batch_size
dataset.flattened_size
dataset.image_size
dataset.intrinsic_dim
dataset.n_samples
dataset.name
dataset.noise
evaluate
figures_dir
intrinsic_dim_n_neighbors
log_dir
max_evaluation_samples
max_n_neighbors
metrics_dir
model_dir
preprocessor._target_
reducer.AutoEncoderClass._target_
reducer.AutoEncoderClass.decoder_act_fn._partial_
reducer.AutoEncoderClass.decoder_act_fn._target_
reducer.AutoEncoderClass.encoder_act_fn._partial_
reducer.AutoEncoderClass.encoder_act_fn._target_
reducer.AutoEncoderClass.hidden_layer_dims
reducer.AutoEncoderClass.include_batch_norm
reducer.AutoEncoderClass.input_size
reducer.AutoEncoderClass.intrinsic_dim
reducer.AutoEncoderClass.tied_weights
reducer._flatten_
reducer._max_sample_size_
reducer._name_
reducer._target_
reducer.alpha
reducer.callbacks
reducer.coef0
reducer.contractive
reducer.contractive_lambda
reducer.copy
reducer.copy_X
reducer.criterion._partial_
Finished
-
moritzm00
39s
-
-
-
false
["MNIST","CIFAR10","SwissRoll","LfwPeople","OlivettiFaces","TwinPeaks","FER2013","20News","ICMR","FashionMNIST"]
["PCA","kPCA","LLE","AE","ConvAE","CAE"]
data
64
3
-
2
5000
SwissRoll
0
true
figures
-
logs
15000
100
metrics
models
sklearn.preprocessing.StandardScaler
drcomp.autoencoder.FullyConnectedAE
true
torch.nn.Sigmoid
true
torch.nn.Sigmoid
[]
false
3
2
false
true
-
CAE
drcomp.reducers.AutoEncoder
-
[{"_target_":"skorch.callbacks.ProgressBar"},{"policy":"ExponentialLR","monitor":"valid_loss","_target_":"skorch.callbacks.LRScheduler","gamma":0.9},{"load_best":true,"monitor":"valid_loss","_target_":"skorch.callbacks.EarlyStopping","patience":5}]
-
true
0.0001
-
-
true
Finished
-
moritzm00
1m 17s
-
-
-
false
["MNIST","CIFAR10","SwissRoll","LfwPeople","OlivettiFaces","TwinPeaks","FER2013","20News","ICMR","FashionMNIST"]
["PCA","kPCA","LLE","AE","ConvAE","CAE"]
data
64
3
-
2
5000
SwissRoll
0
true
figures
-
logs
15000
100
metrics
models
sklearn.preprocessing.StandardScaler
drcomp.autoencoder.FullyConnectedAE
true
torch.nn.Sigmoid
true
torch.nn.Sigmoid
[5,10,5]
true
3
2
false
true
-
AE
drcomp.reducers.AutoEncoder
-
[{"_target_":"skorch.callbacks.ProgressBar"},{"_target_":"skorch.callbacks.LRScheduler","gamma":0.9,"policy":"ExponentialLR","monitor":"valid_loss"},{"monitor":"valid_loss","_target_":"skorch.callbacks.EarlyStopping","patience":20,"load_best":true}]
-
-
-
-
-
true
Finished
-
moritzm00
20s
-
-
-
false
["MNIST","CIFAR10","SwissRoll","LfwPeople","OlivettiFaces","TwinPeaks","FER2013","20News","ICMR","FashionMNIST"]
["PCA","kPCA","LLE","AE","ConvAE","CAE"]
data
64
3
-
2
5000
SwissRoll
0
true
figures
-
logs
15000
100
metrics
models
sklearn.preprocessing.StandardScaler
-
-
-
-
-
-
-
-
-
-
true
-
PCA
drcomp.reducers.PCA
-
-
-
-
-
true
-
-
Finished
-
moritzm00
20s
-
-
-
false
["MNIST","CIFAR10","SwissRoll","LfwPeople","OlivettiFaces","TwinPeaks","FER2013","20News","ICMR","FashionMNIST"]
["PCA","kPCA","LLE","AE","ConvAE","CAE"]
data
64
3
-
2
5000
SwissRoll
0
true
figures
-
logs
15000
100
metrics
models
sklearn.preprocessing.StandardScaler
-
-
-
-
-
-
-
-
-
-
true
20000
LLE
drcomp.reducers.LLE
-
-
-
-
-
-
-
-
Finished
-
moritzm00
22s
-
-
-
false
["MNIST","CIFAR10","SwissRoll","LfwPeople","OlivettiFaces","TwinPeaks","FER2013","20News","ICMR","FashionMNIST"]
["PCA","kPCA","LLE","AE","ConvAE","CAE"]
data
64
3
-
2
5000
SwissRoll
0
true
figures
-
logs
15000
100
metrics
models
sklearn.preprocessing.StandardScaler
-
-
-
-
-
-
-
-
-
-
true
15000
KernelPCA
drcomp.reducers.KernelPCA
1
-
1
-
-
-
true
-
1-5
of 5