- Machine State Classification
- Activity Detection
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Per-worker machine state classification job configuration.
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Inference batch size. Must be an integer
1 or higher.Optional K-Nearest Neighbor (KNN) classifier over embeddings configuration.
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The type of metric to use. One of
cityblock, cosine, euclidean, haversine, l1, l2, manhattan, nan_euclidean.KNN count. Must be at least
3.Whether or not to normalize embeddings before classification.
The uniform distance weighting method to use with KNN:
distance or uniform.The number of iterations to process between forced flushes. Must be at least
1.The type of encoder model to use for the Machine State Classification task:
omega_1_3_surface, omega_1_3_power_drive, omega_1_4_base, omega_1_5_base.Windowed reader configuration options.
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The names of the columns to include in the analysis.
The step between consecutive windows. Must be at least
1.The name of the column in the input data that contains the timestamps.
The number of samples in each window. Must bet at least
1.Number of worker pods to run in parallel for a single job. Must be set to
1.Example configuration
worker:
config:
batch_size: 32
classifier_config:
metric: euclidean
n_neighbors: 5
normalize_embeddings: false
weights: uniform
flush_every_n_iteration: 150
model_type: omega_1_4_base
reader_config:
data_columns:
- c1
- c2
- c3
step_size: 1024
timestamp_column: timestamp
window_size: 64
parallelism: 1
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Per-worker activity detection inference configuration.
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Generation hyperparameters.
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Whether or not to enable stochastic sampling. When
false, decoding is greedy.The upper bound on tokens generated, per sample. Must be at least
1.Penalty applied to previously-generated tokens. Must be greater than
0 and no greater than 2.0. Values above 1.0 discourage repetition.Softmax temperature for sampling. Must be greater than
0 and no greater than 2.0. The higher this value, the more diverse.Nucleus-sampling threshold. Keeps the smallest token set whose cumulative probability is greater than or equal to this value. Must be greater than
0 and no greater than 1.0.Top-k cutoff. Set to
0 to disable cutoff.The maximum number of video frames sampled per video input. Extra frames are dropped uniformly. Must be between 1 and 64.
Specifies the model bundle to use. Standard permitted values are:
newton/c:2.3.0-7b-basenewton/c:2.4.0-7b-basenewton/c:2.5.0-8b-basenewton/c:2.5.1-8b-basenewton/c:2.6.0-8b-bf16-basenewton/c:2.6.0-8b-fp8-basenewton/c:2.6.0-30b-a3b-fp8-basenewton/visual-audio-c:2.5.0-v2-8bnewton/visual-audio-c:2.6.0-v2-8b-fp8
Number of worker pods to run in parallel for a single job. Must be set to
1.Example configuration
worker:
config:
generation:
do_sample: true
max_new_tokens: 256
repetition_penalty: 1
temperature: 0.7
top_k: 20
top_p: 0.8
max_video_frames: 32
model_variant: newton/c:2.5.1-8b-base
parallelism: 1