[SPARK-29142][PYTHON][ML] Pyspark clustering models support column setters/getters/predict

### What changes were proposed in this pull request?
Add the following Params classes in Pyspark clustering
```GaussianMixtureParams```
```KMeansParams```
```BisectingKMeansParams```
```LDAParams```
```PowerIterationClusteringParams```

### Why are the changes needed?
To be consistent with scala side

### Does this PR introduce any user-facing change?
Yes. Add the following changes:
```
GaussianMixtureModel
- get/setMaxIter
- get/setFeaturesCol
- get/setSeed
- get/setPredictionCol
- get/setProbabilityCol
- get/setTol
- predict
```

```
KMeansModel
- get/setMaxIter
- get/setFeaturesCol
- get/setSeed
- get/setPredictionCol
- get/setDistanceMeasure
- get/setTol
- predict
```

```
BisectingKMeansModel
- get/setMaxIter
- get/setFeaturesCol
- get/setSeed
- get/setPredictionCol
- get/setDistanceMeasure
- predict
```

```
LDAModel(HasMaxIter, HasFeaturesCol, HasSeed, HasCheckpointInterval):
- get/setMaxIter
- get/setFeaturesCol
- get/setSeed
- get/setCheckpointInterval
```

### How was this patch tested?
Add doctests

Closes #25859 from huaxingao/spark-29142.

Authored-by: Huaxin Gao <huaxing@us.ibm.com>
Signed-off-by: zhengruifeng <ruifengz@foxmail.com>

Author: huaxingao