1family: SMART
2name: Basic Disk Survival Analysis
3type: darts
4
5epochs: 5
6
7normalizing:
8  entry_point: "normalize:noop"
9training:
10  sql: |
11    SELECT cast(ts as timestamp) as ts, life_percent as y, smart_9_raw, smart_12_raw, smart_194_raw, serial_number
12    FROM lukekim.smart.drive_stats_with_local
13    ORDER BY ts
14inferencing:
15  sql: |
16    SELECT
17      cast(ts as BIGINT) as ts, CAST(0.0 as double) as y, smart_9_raw, smart_12_raw, smart_194_raw, serial_number
18    FROM lukekim.smart.drive_stats_with_local
19    ORDER BY ts
20  lookback_size: 4
21  forecast_size: 1
22metadata:
23  covariate: true
24  model:
25    model_type: BlockRNNModel
26    pk_col: serial_number
27    frequency:  '1d'
28

1family: SMART
2name: Basic Disk Survival Analysis
3type: darts
4
5epochs: 5
6
7normalizing:
8  entry_point: "normalize:noop"
9training:
10  sql: |
11    SELECT cast(ts as timestamp) as ts, life_percent as y, smart_9_raw, smart_12_raw, smart_194_raw, serial_number
12    FROM lukekim.smart.drive_stats_with_local
13    ORDER BY ts
14inferencing:
15  sql: |
16    SELECT
17      cast(ts as BIGINT) as ts, CAST(0.0 as double) as y, smart_9_raw, smart_12_raw, smart_194_raw, serial_number
18    FROM lukekim.smart.drive_stats_with_local
19    ORDER BY ts
20  lookback_size: 4
21  forecast_size: 1
22metadata:
23  covariate: true
24  model:
25    model_type: BlockRNNModel
26    pk_col: serial_number
27    frequency:  '1d'
28