An adaptive machine learning system for predicting file controls includes a memory, an interface, and a processor. The memory stores a plurality of controls for incoming files and the interface receives a first file and a second file. The first file has a first property and the second file has a second property. The processor determines a type for each of the first property and the second property, wherein the type of each property is related to a first file control. The processor also determines that the first property and the second property each satisfy the first file control. If the value of the first property and the second property are above a first threshold, the processor changes a value of the first control for incoming files.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An adaptive machine learning system for predicting file controls comprising: a memory operable to store a plurality of controls for incoming files; an interface operable to receive a first file and a second file, wherein the first file has a first property and the second file has a second property; a processor operable to: determine a type for each of the first property and the second property, wherein the type of the first property and the type of the second property are both related to a first file control; determine that the first property of the first incoming file satisfies the first file control; determine that the second property of the second set of incoming files satisfies the first control of incoming files; determine that a value of the first property and a value of the second property is above a first threshold; and change a value of the first control for incoming files in response to determining that the first property and the second property have a value above the first threshold. 2. The system of claim 1, wherein the plurality of controls comprise a file size restriction for incoming files. 3. The system of claim 2, wherein the type of the first property and the second property is the file size of the incoming files. 4. The system of claim 2, wherein the file size of the second incoming file is greater than the file size of the first incoming file and changing a value of the first control comprises increasing the file size of the file size restriction. 5. The system of claim 1, wherein the processor is further operable to reject a first incoming file if the first property of the incoming file does not satisfy the first control. 6. The system of claim 1, wherein the plurality of controls comprise a data volume restriction for incoming files. 7. The system of claim 6, wherein the data volume of the second incoming file is greater than the data volume of the first incoming file and changing a value of the first control comprises increasing the data volume of the data volume restriction. 8. A method for adaptive machine learning for predicting file controls comprising: electronically receiving a first file and a second file, wherein the first file has a first property and the second file has a second property; determining a type for each of the first property and the second property, wherein the type of each property is related to a first file control; determining that the first property of the first incoming file satisfies the first file control; determining that the second property of the second set of incoming files satisfies the first control of incoming files; determining that a value of the first property and a value of the second property is above a first threshold; and changing a value of the first control for incoming files in response to determining that the first property and the second property have a value above the first threshold. 9. The method of claim 8, wherein the type of the first property and the second property is a file size of the incoming files. 10. The method of claim 9, wherein the file size of the second incoming file is greater than the file size of the first incoming file and changing a value of the first control comprises increasing the file size of the file size restriction. 11. The method of claim 8, further comprising rejecting a first incoming file if the first property of the incoming file does not satisfy the first control. 12. The method of claim 8, wherein the type of the first property and the second property is a data volume restriction for incoming files. 13. The method of claim 12, wherein the data volume of the second incoming file is greater than the data volume of the first incoming file and changing a value of the first control further comprises increasing the data volume of the data volume restriction. 14. An adaptive machine learning system for predicting file controls comprising: a memory operable to store a plurality of size restrictions for incoming files; an interface operable to receive a first file and a second file, wherein the first file has a first file size and the second file has a second file size; a processor operable to: determine that the file size of the first incoming file is smaller than the stored size restriction; determine that the file size of the second incoming file is smaller than the stored size restriction; determine that the file size of the first file and the file size of the second file are above a first threshold; and in response to determining that the file size of the first file and the file size of the second file are above a first threshold, increase a value of the size restriction for incoming files. 15. The system of claim 14, further operable to reject a first incoming file if the file size of the incoming file does not satisfy the size restriction. 16. The system of claim 14, wherein the size restriction comprises a volume based restriction for incoming files. 17. The system of claim 14, wherein a data volume of the second incoming file is greater than a data volume of the first incoming file and the processor is further operable to increase the data volume of the data volume restriction. 18. The system of claim 14, wherein the size restriction relates to an amount of memory space occupied by the incoming files. 19. The system of claim 14, wherein the first threshold is a percentage of the stored size restriction. 20. The system of claim 16, wherein the first threshold is a percentage of the volume based restriction for incoming files.