score:2
Long story short, of course the vector needs to be of the same length. The obvious answer is to use a sparse vector. I used this and its github link for guidance.
Source: stackoverflow.com
Related Query
- Spark Latent Dirichlet Allocation model topic matrix is too small
- Spark on Cluster: Read Large number of small avro files is taking too long to list
- Merging too many small files into single large files in Datalake using Apache Spark
- How to write spark streaming DF to Kafka topic
- Matrix Multiplication in Apache Spark
- Spark UDF called more than once per record when DF has too many columns
- Spark dataframe write method writing many small files
- How to read records from Kafka topic from beginning in Spark Streaming?
- Spark - Reading many small parquet files gets status of each file before hand
- How to convert matrix to RDD[Vector] in spark
- Spark load model and continue training
- Spark MLLib Linear Regression model intercept is always 0.0?
- merge multiple small files in to few larger files in Spark
- How to read json data using scala from kafka topic in apache spark
- Read Kafka topic in a Spark batch job
- too many map keys causing out of memory exception in spark
- Efficient load CSV coordinate format (COO) input to local matrix spark
- How to fix "A protocol message was rejected because it was too big" from Google Protobuf in Spark on Mesos?
- Convert Matrix to RowMatrix in Apache Spark using Scala
- Spark - How to create a sparse matrix from item ratings
- How to save RandomForestClassifier Spark model in scala?
- Getting covariance matrix in Spark Linear Regression
- How to stream data from Kafka topic to Delta table using Spark Structured Streaming
- How to create a distributed sparse matrix in Spark from DataFrame in Scala
- Scala. Too much small functions, too many classes?
- Spark Dataframe write to kafka topic in avro format?
- How to create a co-occurrence matrix from a Spark RDD
- Why this LR code run on spark too slowly?
- Load Word2Vec model in Spark
- How to build a large distributed [sparse] matrix in Apache Spark 1.0?
More Query from same tag
- parsing JSON into classes with Option[T] arg types in spark-shell with Scala
- Not able to understand a Scala code snippet with `mkString` on `Array[Any]`
- Why does a list initialised with Nil and cons (::) not have a NULL value at the end?
- Iterate through Spark column of type Array[DateType] and see if there are two consecutive days in the array
- slick 3 mapping custom fields
- Import and use an exernal jar file from maven using bazel
- Self-type mismatch in Scala
- How to get value ot global setting into singleton object method?
- Spark performance for Scala vs Python
- scala class extend a trait with generic which is a type of a field
- How to prevent Intellij from treating Scala warning as error?
- Recursive value needs type - Scala Swing
- Json error parsing into case class, json array
- Working with Suggestions in Elasticsearch Java API
- Using scala syntatic sugar to collect with case and if
- Play framework: javascripts in scala code?
- A weird NullPointerException in scala
- java.lang.IllegalArgumentException: Illegal sequence boundaries Spark
- Scala typeclass derivation for collections
- How to submit Spark SQL application with parameter used in SQL statements?
- Tests fail on a simple RDD action
- Scala, execute map of futures
- How protect spray application from overloading?
- Different ways of calling map function in scala
- Scala way for converting Long to ArrayByte
- SBT 1.x fails to resolve parent pom
- Hellinger Distance in Scala
- How to model a simple akka actor system?
- How to set encrypted password to credentials to publish Nexus OSS with sbt?
- How to define a Monad for a function type?
