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feat: Initial merge of Web UI logic #2352

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Mar 3, 2022
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feat: Initial merge of Web UI logic #2352

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Initial merge of Web UI logic
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add sample image 
Signed-off-by: Danny Chiao <danny@tecton.ai>
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@adchia
adchia committed Mar 2, 2022
commit fb6d1b1e0fa190b815d46e24034675977dec911f
16 changes: 10 additions & 6 deletions README.md
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Expand Up @@ -45,7 +45,11 @@ cd my_feature_repo
feast apply
```

### 4. Build a training dataset
### 4. Explore your data in the web UI (experimental)

![Web UI](ui/sample.png)

### 5. Build a training dataset
```python
from feast import FeatureStore
import pandas as pd
Expand Down Expand Up @@ -86,7 +90,7 @@ print(training_df.head())

```

### 5. Load feature values into your online store
### 6. Load feature values into your online store
```commandline
CURRENT_TIME=$(date -u +"%Y-%m-%dT%H:%M:%S")
feast materialize-incremental $CURRENT_TIME
Expand All @@ -96,7 +100,7 @@ feast materialize-incremental $CURRENT_TIME
Materializing feature view driver_hourly_stats from 2021-04-14 to 2021-04-15 done!
```

### 6. Read online features at low latency
### 7. Read online features at low latency
```python
from pprint import pprint
from feast import FeatureStore
Expand Down Expand Up @@ -165,7 +169,7 @@ The list below contains the functionality that contributors are planning to deve
* [x] [Azure Cache for Redis (community plugin)](https://github.com/Azure/feast-azure)
* [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres)
* [x] [Custom online store support](https://docs.feast.dev/how-to-guides/adding-support-for-a-new-online-store)
* [ ] Bigtable
* [ ] Bigtable (in progress)
* [ ] Cassandra
* **Streaming**
* [x] [Custom streaming ingestion job support](https://docs.feast.dev/how-to-guides/creating-a-custom-provider)
Expand All @@ -192,16 +196,16 @@ The list below contains the functionality that contributors are planning to deve
* [ ] Feature Logging (for training)
* **Data Quality Management (See [RFC](https://docs.google.com/document/d/110F72d4NTv80p35wDSONxhhPBqWRwbZXG4f9mNEMd98/edit))**
* [x] Data profiling and validation (Great Expectations)
* [ ] Training-serving skew detection (in progress)
* [ ] Metric production
* [ ] Training-serving skew detection
* [ ] Drift detection
* **Feature Discovery and Governance**
* [x] Python SDK for browsing feature registry
* [x] CLI for browsing feature registry
* [x] Model-centric feature tracking (feature services)
* [x] Amundsen integration (see [Feast extractor](https://github.com/amundsen-io/amundsen/blob/main/databuilder/databuilder/extractor/feast_extractor.py))
* [ ] Feast Web UI (in progress)
* [ ] REST API for browsing feature registry
* [ ] Feast Web UI
* [ ] Feature versioning


Expand Down
2 changes: 1 addition & 1 deletion docs/getting-started/third-party-integrations.md
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Expand Up @@ -46,7 +46,7 @@ Don't see your offline store or online store of choice here? Check out our guide
* [x] [Azure Cache for Redis (community plugin)](https://github.com/Azure/feast-azure)
* [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres)
* [x] [Custom online store support](https://docs.feast.dev/how-to-guides/adding-support-for-a-new-online-store)
* [ ] Bigtable
* [ ] Bigtable (in progress)
* [ ] Cassandra

### **Deployments**
Expand Down
6 changes: 3 additions & 3 deletions docs/roadmap.md
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Expand Up @@ -37,7 +37,7 @@ The list below contains the functionality that contributors are planning to deve
* [x] [Azure Cache for Redis (community plugin)](https://github.com/Azure/feast-azure)
* [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres)
* [x] [Custom online store support](https://docs.feast.dev/how-to-guides/adding-support-for-a-new-online-store)
* [ ] Bigtable
* [ ] Bigtable (in progress)
* [ ] Cassandra
* **Streaming**
* [x] [Custom streaming ingestion job support](https://docs.feast.dev/how-to-guides/creating-a-custom-provider)
Expand All @@ -64,14 +64,14 @@ The list below contains the functionality that contributors are planning to deve
* [ ] Feature Logging (for training)
* **Data Quality Management (See [RFC](https://docs.google.com/document/d/110F72d4NTv80p35wDSONxhhPBqWRwbZXG4f9mNEMd98/edit))**
* [x] Data profiling and validation (Great Expectations)
* [ ] Training-serving skew detection (in progress)
* [ ] Metric production
* [ ] Training-serving skew detection
* [ ] Drift detection
* **Feature Discovery and Governance**
* [x] Python SDK for browsing feature registry
* [x] CLI for browsing feature registry
* [x] Model-centric feature tracking (feature services)
* [x] Amundsen integration (see [Feast extractor](https://github.com/amundsen-io/amundsen/blob/main/databuilder/databuilder/extractor/feast_extractor.py))
* [ ] Feast Web UI (in progress)
* [ ] REST API for browsing feature registry
* [ ] Feast Web UI
* [ ] Feature versioning
10 changes: 7 additions & 3 deletions infra/templates/README.md.jinja2
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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,11 @@ cd my_feature_repo
feast apply
```

### 4. Build a training dataset
### 4. Explore your data in the web UI (experimental)

![Web UI](ui/sample.png)

### 5. Build a training dataset
```python
from feast import FeatureStore
import pandas as pd
Expand Down Expand Up @@ -84,7 +88,7 @@ print(training_df.head())

```

### 5. Load feature values into your online store
### 6. Load feature values into your online store
```commandline
CURRENT_TIME=$(date -u +"%Y-%m-%dT%H:%M:%S")
feast materialize-incremental $CURRENT_TIME
Expand All @@ -94,7 +98,7 @@ feast materialize-incremental $CURRENT_TIME
Materializing feature view driver_hourly_stats from 2021-04-14 to 2021-04-15 done!
```

### 6. Read online features at low latency
### 7. Read online features at low latency
```python
from pprint import pprint
from feast import FeatureStore
Expand Down